Product Recognizer guide

The Product Recognizer model helps you recognize and understand what products are in the provided image or on the shelf.

This model can serve as the primary AI building block for analyzing and interpreting product image data in retail stores. For example, you can use this model on shelf images that are captured by local cameras or mobile devices.

Tag Recognizer and Product Recognizer use cases

The Product Recognizer model and the Tag Recognizer models can serve as the primary AI building blocks for analyzing and interpreting the image data around products and tags found in retail stores, such as the shelf scanning images captured by the installed cameras or mobile devices / platforms.

The Product recognizer and Tag recognizer models incorporate several core Google AI modeling and data capabilities to help the retailers and/or technical partners to solve key problems in understanding the retail shelf, including:

• Detecting, recognizing thus understanding what products are in the image or on the shelf.
• Detecting, recognizing, and parsing the tags (price-tag, for example, or any other text label tags) according to user defined key-value pair entity extraction schema.

In particular, several differentiating Google AI models are included in the shelf checking solution to support these use-cases problem solving, such as

• Product detection models (pre-trained by Google, but that you can still customize).
• Product thumbnail visual embedding model, which turns a product thumbnail image into a numerical feature space representation.
• Google OCR model, which extracts all texts visible in the image.
• Google entity extraction model (that you can customize), which turns the raw texts into the user defined key-value pair named entities.

In addition to these Google AI models, the shelf checking solution also leverages Google's large database of product information. The product data in this Product database includes the product's GTIN / UPC identity, product brand, title, and cross-language descriptions, product logo, and imagery with various packaging variations. The Product database with the previously mentioned product thumbnail visual embedding model enables the Product recognizer model to be able to recognize many products immediately.

For example, given a captured shelf image as follows, the shelf checking solution aims to:

1. Detect and localize all product item boxes (visible, not severely occluded) in the image, and recognize the product identity of each individual product item box at the GTIN / UPC level.
2. Detect and localize all tag boxes (visible) in the image, recognize all text strings in the tag, and then try to parse the text into the user-defined key-value pair entity extraction schema, such as product item description, price value.

The two major AI features to enable these solutions are Product Recognizer model and Tag Recognizer model, which we will provide more details in the following sections. For each of these two APIs that mainly provide the image inference services, there are one or more components in each API that you can customize. We will first describe the inference path of the API use, and then provide some short description of how the involved components you can customize, either through some user configuration or through some model training you carry out.

Product Recognizer functionality

This model recognizes individual product identity at the Global Trade Item Number (GTIN) level or the Universal Product Code (UPC) level. Several differentiating Google AI models are included in the Product Recognizer to empower these use-cases problem solving, such as:

• The product visual embedding model, which turns a product image into a numerical feature space representation.
• The Google OCR technology, which extracts all texts visible in the image.
• The Google product database used in combination with the product thumbnail visual embedding model enables the Product Recognizer model to recognize many products right away.

Example Output JSON Object

{
  "imageUri": "gs://test_bucket/test_image.jpg",
  "productRecognitionAnnotations": [
    {
      "detectedText": "Bolthouse Farms Perfectly Protein Tea & Soy Beverage",
      "recognitionResults": [
        {
          "confidence": 0.9420832,
          "productMetadata": {
            "brand": "Bolthouse Farms",
            "gtins": [
              "00071464260804"
              ],
            "locale": "en-US",
            "title": "Bolthouse Farms Perfectly Protein Tea & Soy Beverage, Vanilla Chai Tea - 52 fl oz"
          },
        }
      ]
    }
  ]
}

API concepts

There are six API resources offered to help build product catalog, product dataset management, index building, and deployment for Product Recognition service. There are described as follows:

Catalog: Root resource which represents the container for all products offered by the retailer.

Product: Represents a product offered by a merchant. Product is a child resource of Catalog.

ProductImage: The image representing a view of one product. ProductImage is a child resource of Product.

ProductSet: A finer granularity container to organize and group products in the same Catalog. One ProductSet may contain one or many Products but it does not "own" the containing Products but instead maintains a "link" to them.

ProductRecognitionIndex: Contains a list of image embedding used for product recognition algorithms. ProductRecognitionIndex can be created either from the entire Catalog or from a ProductSet (a subset of the Products from the Catalog).

Endpoint: A placement that carries all the configurations required to perform Product Recognition or Tag Recognition inference. For Product Recognition, specifying product detection model and deploying a ProductRecognitionIndex are required. For Tag Recognition, specifying both tag detection and tag entity parsing models is required.

Environment setup

This section describes how to interact with Store Vision AI RESTful API.

API_ENDPOINT=visionai.googleapis.com
PROJECT_ID=your project ID

All the create methods require specifying the to-be-created resource name/ID explicitly. You may use a meaningful string identifier, for example, "product-ABC" or a randomly generated identifier for example, UUID.

To grant a person role the editor access to use Store Vision API, please run the following iam binding command:

gcloud projects add-iam-policy-binding PROJECT_ID --member='user:USER_ACCOUNT' --role='roles/visionai.editor'

To grant a service account the editor access, please use the below command:

gcloud projects add-iam-policy-binding PROJECT_ID --member='serviceAccount:SERVICE_ACCOUNT' --role='roles/visionai.editor'

Learn more about IAM binding.

Product Recognizer user journey

1. Create a Catalog.
2. Import Products and (optional) ProductImages into the Catalog.
3. View and modify the Product and ProductImages, and optionally creates a ProductSet to organize products list in a finer granularity.
4. Create an Index, either from the entire Catalog or from a ProductSet.
5. Create an Endpoint with desired product recognition config and deploys an Index to it.
6. Perform BatchAnalyze with ProductRecognition feature. In the backend, the system will identify products from each input image and retrieve top K similar products from the specified index using both visual and OCR text signals.

API resource management (Catalog and Indexset)

Catalog

Create Catalog

• CATALOG_ID=Your catalog id.

curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" -d '{}' https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs?retail_catalog_id=CATALOG_ID

Example output

{
  "name": "projects/cloud-store-vision-test/locations/us-central1/operations/operation-1655157982362-5e15b7f95fa6f-d30364c6-dc3a3714",
  "done": false
}

Pull Operation until done

• OPERATION_ID=Your output operation, for example, operation-1655157982362-5e15b7f95fa6f-d30364c6-dc3a3714

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/operations/OPERATION_ID

Example output

{
  "name": "projects/cloud-store-vision-test/locations/us-central1/operations/operation-1655157982362-5e15b7f95fa6f-d30364c6-dc3a3714",
  "done": true
}

ImportProduct

There are two supported import format:

• TXT: each line is the gtin of a Product to be imported
• JSONL: each line is a JSON format of RetailProductIoFormat, for example,

{"retailProduct":{"name":"00040094314034","gtins":["00040094314034"]},"retailProductImages":[{"name":"1","gcsUri":"gs://shelfchecking-integration-test-data/products-data/00040094314034/1.jpg"}]}
{"retailProduct": {"name":"00123", "thirdPartyIds": {"id": "test-id", "owner": "test-owner"}}}

Please see API reference for more details on RetailProductIoFormat. We currently support importing a maximum of 10,000 products per ImportProduct operation.

Please also note that the "name" within the "retailProductImages" only needs to be unique in the scope of parent "retailProduct" resource, meaning there could be 2 "retailProductImages" with the same "name" as long as they belong to different "retailProduct" resource.

• IMPORT_FILE_URI=Your import file Cloud Storage URI, for example, gs://mybucket/my_import_file.jsonl
• IMPORT_FORMAT=Your import file format, either FORMAT_JSONL or FORMAT_TXT

curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID:importRetailProducts \
  -d '{
    "gcs_source": {
      "uris": "IMPORT_FILE_URI"
    },
    "format": "IMPORT_FORMAT"
  }'

List Catalog

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs

GetCatalog

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID

DeleteCatalog

curl -sS -X DELETE -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID

Product

CreateProduct with GTIN

We support GTIN-8, GTIN-13, GTIN-14 and UPC(also known as GTIN-12) format. Learn more about GTIN format here.

• PRODUCT_ID=Your product id
• GTIN=gtin of your product, for example, 50735854797459, 00040094314034

curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProducts?retail_product_id=PRODUCT_ID \
  -d '{"gtins": "GTIN"}'

CreateProduct with Third-party ID

• PRODUCT_ID=Your product id
• THIRD_PARTY_ID=Third-party ID
• OWNER=The entity that owns the third party identifier

curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProducts?retail_product_id=PRODUCT_ID \
-d '
  {
    "third_party_ids": {
      "id": "THIRD_PARTY_ID",
      "owner": "OWNER",
    }
  }'

ListProducts

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProducts

GetProducts

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProducts/PRODUCT_ID

DeleteProduct

curl -sS -X DELETE -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProducts/PRODUCT_ID

ProductImage

CreateProductImage

• PRODUCT_IMAGE_ID=Your product image id
• IMAGE_GCS_URI=Your image Cloud Storage uri, for example, gs://mybucket/my_img.jpg

curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProducts/PRODUCT_ID/retailProductImages?retail_product_image_id=PRODUCT_IMAGE_ID \
  -d '{
    "source_type": "SOURCE_TYPE_HAND_HELD_CAMERA",
    "gcs_uri": "IMAGE_GCS_URI"
  }'

ListProductImages

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProducts/PRODUCT_ID/retailProductImages

GetProductImages

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProducts/PRODUCT_ID/retailProductImages/PRODUCT_IMAGE_ID

DeleteProductImage

curl -sS -X DELETE -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProducts/PRODUCT_ID/retailProductImages/PRODUCT_IMAGE_ID

ProductSet

CreateProductSet

• PRODUCT_SET_ID=Your product set id

curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" -d '{}' https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProductSets?retail_product_set_id=PRODUCT_SET_ID

ListProductSet

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProductSets

GetProductSet

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProductSets/PRODUCT_SET_ID

AddProductsToProductSet

curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProductSets/PRODUCT_SET_ID:add \
  -d '{"product_ids": "PRODUCT_ID"}'

RemoveProductsFromProductSet

curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProductSets/PRODUCT_SET_ID:remove \
  -d '{"product_ids": "PRODUCT_ID"}'

DeleteProductSet

curl -sS -X DELETE -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProductSets/PRODUCT_SET_ID

ProductRecognitionIndex

Create ProductRecognitionIndex

There are two ways to create a ProductRecognitionIndex, either from Catalog which will use all the everything contained in this Catalog, or from a ProductSet which will only use the associated products and product images.

• INDEX_ID=Your index id
• COVERAGE_CSV_OUTPUT_DIRECTORY=<Cloud Storage location of the directory where index coverage file will be written to

# Create from Catalog
curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProductRecognitionIndexes?retail_product_recognition_index_id=INDEX_ID

# Create from Catalog and output index coverage CSV file to a Cloud Storage directory.
# This API method is especially useful when you want to understand the
# actual number of images used to construct the index per imported GTIN, and
# the image can be sourced from the Google Product database, your own importing,
# and other means (such as with the Google Data Labeling service.
curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" "https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProductRecognitionIndexes?retail_product_recognition_index_id=INDEX_ID&coverage_output.output_uri_prefix=COVERAGE_CSV_OUTPUT_DIRECTORY"

# Create from ProductSet, by adding the following to the previous Curl command
-d '{"retail_product_set": "projects/PROJECT_ID/locations/us-central1/retailCatalogs/'CATALOG_ID'/retailProductSets/PRODUCT_SET_ID"}'

Get ProductRecognitionIndex

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProductRecognitionIndexes/INDEX_ID

List ProductRecognitionIndex

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProductRecognitionIndexes

Delete ProductRecognitionIndex

curl -sS -X DELETE -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailCatalogs/CATALOG_ID/retailProductRecognitionIndexes/INDEX_ID

Endpoint

Create Endpoint

• ENDPOINT_ID=Your endpoint id

curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailEndpoints?retail_endpoint_id=ENDPOINT_ID -d '{
  "productRecognitionConfig": {
    "recognitionConfidenceThreshold": 0.4
  }
}'

DeployProductRecognitionIndex

An Endpoint can only be deployed with one ProductRecognitionIndex, but one ProductRecognitionIndex can be deployed to multiple Endpoints.

curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailEndpoints/ENDPOINT_ID:deployRetailProductRecognitionIndex \
  -d '{
    "retail_product_recognition_index": "projects/PROJECT_ID/locations/us-central1/retailCatalogs/'CATALOG_ID'/retailProductRecognitionIndexes/INDEX_ID"
  }'

GetEndpoint

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailEndpoints/ENDPOINT_ID

ListEndpoints

curl -sS -X GET -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailEndpoints

UndeployProductRecognitionIndex

Undeploy will only remove the deployed ProductRecognitionIndex from the current calling Endpoint, and will not affect other Endpoints if this ProductRecognitionIndex is also deployed to other ones.

curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailEndpoints/ENDPOINT_ID:undeployRetailProductRecognitionIndex

DeleteEndpoint

curl -sS -X DELETE -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailEndpoints/ENDPOINT_ID

Batch Analyze Inference (Product Recognition)

Example input file at gs://my-bucket/input-file.csv:

gs://my-bucket/my-image1.jpg
gs://my-bucket/my-image2.jpg
gs://my-bucket/my-image3.jpg

• INPUT_FILE_URI=Cloud Storage uri of your input file> each line in the input file is just a Cloud Storage uri of image to process, for example, gs://my-bucket/my-image.jpg
• OUTPUT_URI_PREFIX=Cloud Storage uri prefix for output results file, for example, gs://my-bucket/my-output-dir

curl -sS -X POST -H "Authorization: Bearer $(gcloud auth print-access-token)" -H "Content-Type: application/json" https://visionai.googleapis.com/v1alpha1/projects/PROJECT_ID/locations/us-central1/retailEndpoints/ENDPOINT_ID:batchAnalyze -d '{
  "gcsSource": {
    "uris": ["INPUT_FILE_URI"]
  },
  "features": [
    {
      "type": "TYPE_PRODUCT_RECOGNITION",
     }
  ],
  "outputGcsDestination": {
    "outputUriPrefix": "OUTPUT_URI_PREFIX"
  }
}'

Note: You can override the productRecognitionConfig on the Endpoint by specifying one in the BatchAnalyze request instead.

"features": [
    {
      "type": "TYPE_PRODUCT_RECOGNITION",
      "productRecognitionConfig": {
        "recognitionConfidenceThreshold": 0.4
      }
    }
  ],

There are also more fields that you can set and configure in the productRecognitionConfig, which is a RetailProductRecognitionConfig object. Please see the resource description in the API reference for more details.

API reference

Resource: projects.locations.retailCatalogs

JSON Representation

{
  "name": string,
  "displayName": string,
  "createTime": string,
  "updateTime": string,
  "resourceState": enum(RetailResourceState),
  "labels": {
    string: string,
    ...
  }
}

Fields

name	String	Output only. Resource name of the RetailCatalog
displayName	String	Optional. Display name of the RetailCatalog.
createTime	string (Timestamp format)	Output only. Timestamp when this RetailCatalog was created.
updateTime	string (Timestamp format)	Output only. The update timestamp.
resourceState	enum	Output only. State of the RetailCatalog.
labels	map (key: string, value: string)	The labels with user-defined metadata to organize your RetailCatalog. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.

Method: projects.locations.retailCatalogs.create

HTTP request

POST https://visionai.googleapis.com/v1alpha1/{parent=projects/*/locations/us-central1}/retailCatalogs

Path parameters

parent	string	Required. Parent identifier.

Request body

The request body contains an instance of RetailCatalog.

Response body

If successful, the response body contains a newly created instance of RetailCatalog.

Method: projects.locations.retailCatalogs.get

HTTP request

GET https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/us-central1/retailCatalogs/*}

Path parameters

name	string	Required. RetailCatalog identifier.

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of RetailCatalog.

Method: projects.locations.retailCatalogs.list

HTTP request

GET https://visionai.googleapis.com/v1alpha1/{parent=projects/*/locations/us-central1}/retailCatalogs

Path parameters

parent	string	Required. Parent identifier.

Query parameters

filter	string	Optional. An expression for filtering the results of the request.
pageToken	string	Optional. A token identifying a page of results the server should return.
pageSize	integer	Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
orderBy	string	Optional. A comma-separated list of fields to order by sorted in ascending order. Use "desc" after a field name for descending.

Request body

The request body must be empty.

Response body

If successful, the response body contains data with the following structure: JSON representation

{
  "retailCatalogs": [
    {
      object (RetailCatalog)
    }
  ],
  "nextPageToken": string
}

Method: projects.locations.retailCatalogs.delete

HTTP request

DELETE https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/us-central1/retailCatalogs/*}

Path parameters

name	string	Required. RetailCatalog identifier.

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of Operation.

Method: projects.locations.retailCatalogs.importRetailProducts

HTTP request

POST https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/us-central1/retailCatalogs/*}:importRetailProducts

Path parameters

name	string	Required. RetailCatalog resource name.

Request body

JSON representation

{
  "gcsSource": { object(GcsSource) },
  "format": enum(Format)
}

Fields

gcsSource	object	Required. The Cloud Storage location for the input content. Multiple input locations can be provided. The contents of all input locations will be imported in one batch. Supported file extensions: 1. A JSONL file. Each line is a JSON format of RetailProductIoFormat. 2. A TXT file. Each line is the gtin of a Product to be imported.
format	enum	Required. The import file format.

Format ENUM values

FORMAT_UNSPECIFIED	Should not be used.
FORMAT_TXT	TXT format.
FORMAT_JSONL	JSONL format.

Response body

If successful, the response body contains an instance of Operation.

Resource: projects.locations.retailProducts

JSON Representation

{
  "name": string,
  "gtins": [string],
  "normalizedGtins": [string],
  "thirdPartyIds": [ { object(ThirdPartyId) }],
  "locale": string,
  "brand": string,
  "title": string,
  "productUri": string,
  "resourceState": enum(RetailResourceState),
   "labels": {
    string: string,
    ...
    }
   "createTime": string,
   "updateTime": string
}

Fields

name	String	Output only. Resource name of the RetailProductImage
displayName	String	Optional. Display name of the RetailProductImage.
sourceType	enum	Optional. Source type
gcsUri	string	Optional. Cloud Storage location of the RetailProductImage. It should be set except when the image is provided by Google, for example, when the source type is SOURCE_TYPE_GOOGLE.
resourceState	enum	Output only. State of the RetailProductImage.
labels	map (key: string, value: string)	The labels with user-defined metadata to organize your RetailProductImage. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
createTime	string (Timestamp format)	Output only. The create Timestamp.
updateTime	string (Timestamp format)	Output only. The update timestamp.

RetailThirdPartyId JSON Presentation

{
  "id": string,
  "owner": string
}

Fields

id	string	Third party id used by the retailer or manufacturer (for example,, SKU or MPN).
owner	string	The entity that 'owns' the third party identifier, for example, the manufacturer or the retailer selling this product.

Method: projects.locations.retailCatalogs.retailProducts.create

HTTP request

POST https://visionai.googleapis.com/v1alpha1/{parent=projects/*/locations/*/retailCatalogs/*}/retailProducts

Path parameters

parent	string	Required. Parent identifier.

Request body

The request body contains an instance of RetailProduct.

Response body

If successful, the response body contains a newly created instance of RetailProduct.

Method: projects.locations.retailCatalogs.retailProducts.get

HTTP request

GET https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/*/retailCatalogs/*/retailProducts/*

Path parameters

name	string	Required. RetailProduct identifier.

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of RetailProduct.

Method: projects.locations.retailCatalogs.retailProducts.list

HTTP request

GET https://visionai.googleapis.com/v1alpha1/{parent=projects/*/locations/*/retailCatalogs/*}/retailProducts

Path parameters

parent	string	Required. Parent identifier.

Query parameters

filter	string	Optional. An expression for filtering the results of the request.
pageToken	string	Optional. A token identifying a page of results the server should return.
pageSize	integer	Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
orderBy	string	Optional. A comma-separated list of fields to order by sorted in ascending order. Use "desc" after a field name for descending.

Request body

The request body must be empty.

Response body

If successful, the response body contains data with the following structure: JSON representation

{
  "retailProducts": [
    {
      object (RetailProducts)
    }
  ],
  "nextPageToken": string
}

Method: projects.locations.retailCatalogs.retailProducts.delete

HTTP request

DELETE https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/*/retailCatalogs/*/retailProducts/*

Path parameters

name	string	Required. RetailProduct identifier.

Request body

The request body must be empty.

Response body

If successful, the response body is empty.

Resource: projects.locations.retailProductImages

JSON Representation

{
  "name": string,
  "displayName": string,
  "sourceType": enum(SourceType),
  "gcsUri": string,
  "resourceState": enum(RetailResourceState),
   "labels": {
    string: string,
    ...
    }
   "createTime": string,
   "updateTime": string
}

Fields

name	String	Output only. Resource name of the RetailProductImage
displayName	String	Optional. Display name of the RetailProductImage.
sourceType	enum	Optional. Source type
gcsUri	string	Optional. Cloud Storage location of the RetailProductImage. It should be set except when the image is provided by Google, for example, when the source type is SOURCE_TYPE_GOOGLE.
resourceState	enum	Output only. State of the RetailProductImage.
labels	map (key: string, value: string)	The labels with user-defined metadata to organize your RetailProductImage. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
createTime	string (Timestamp format)	Output only. The create Timestamp.
updateTime	string (Timestamp format)	Output only. The update timestamp.

SourceType ENUM values

SOURCE_TYPE_UNSPECIFIED	Unknown data source. Should not be used.
SOURCE_TYPE_FIXED_CAMERA	Image is captured from fixed camera.
SOURCE_TYPE_HAND_HELD_CAMERA	Image is captured from hand-held camera.
SOURCE_TYPE_CRAWLED	Image is crawled from the web.
SOURCE_TYPE_SYSTEM_GENERATED	Image is cropped from an original image with human labeling.

Method: projects.locations.retailCatalogs.retailProducts.retailProductImages.create

HTTP request

POST https://visionai.googleapis.com/v1alpha1/{parent=projects/*/locations/*/retailCatalogs/*/retailProducts/*}/retailProductImages

Path parameters

parent	string	Required. Parent identifier.

Request body

The request body contains an instance of RetailProductImage.

Response body

If successful, the response body contains a newly created instance of RetailProductImage.

Method: projects.locations.retailCatalogs.retailProducts.retailProductImages.get

HTTP request

GET https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/*/retailCatalogs/*/retailProducts/*/retailProductImages/*

Path parameters

name	string	Required. RetailProductImage identifier.

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of RetailProductImage.

Method: projects.locations.retailCatalogs.retailProducts.retailProductImages.list

HTTP request

GET https://visionai.googleapis.com/v1alpha1/{parent=projects/*/locations/*/retailCatalogs/*/retailProducts/*}/retailProductImages

Path parameters

parent	string	Required. Parent identifier.

Query parameters

filter	string	Optional. An expression for filtering the results of the request.
pageToken	string	Optional. A token identifying a page of results the server should return.
pageSize	integer	Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
orderBy	string	Optional. A comma-separated list of fields to order by sorted in ascending order. Use "desc" after a field name for descending.

Request body

The request body must be empty.

Response body

If successful, the response body contains data with the following structure:

JSON representation

{
  "retailProductImages": [
    {
      object (RetailProductImages)
    }
  ],
  "nextPageToken": string
}

Method: projects.locations.retailCatalogs.retailProducts.retailProductImages.delete

HTTP request

DELETE https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/*/retailCatalogs/*/retailProducts/*/retailProductImages/*

Path parameters

name	string	Required. RetailProductImage identifier.

Request body

The request body must be empty.

Response body

If successful, the response body is empty.

Resource: projects.locations.retailCatalogs.retailProductSets

JSON representation

{
  "name": string,
  "displayName": string,
  "retailProductIds": [string],
  "resourceState": enum(RetailResourceState),
   "labels": {
    string: string,
    ...
    }
   "createTime": string,
   "updateTime": string
}

Fields

name	String	Output only. Resource name of the RetailProductSet
displayName	String	Optional. Display name of the RetailProductSet.
retailProductIds []	String	Output only. Resource ids of products belonging to this RetailProductSet. The products in a RetailProductSet should be in the same catalog.
resourceState	enum	Output only. State of the RetailProductSet.
labels	map (key: string, value: string)	The labels with user-defined metadata to organize your RetailProductSet. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
createTime	string (Timestamp format)	Output only. The create Timestamp.
updateTime	string (Timestamp format)	Output only. The update timestamp.

Method: projects.locations.retailCatalogs.retailProductSets.create

HTTP request

POST https://visionai.googleapis.com/v1alpha1/{parent=projects/*/locations/*/retailCatalogs/*}/retailProductSets

Path parameters

parent	string	Required. Parent identifier.

Request body

The request body contains an instance of RetailProductSet.

Response body

If successful, the response body contains a newly created instance of RetailProductSet.

Method: projects.locations.retailCatalogs.retailProductSets.get

HTTP request

GET https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/*/retailCatalogs/*/retailProductSets/*

Path parameters

name	string	Required. RetailProductSet identifier.

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of RetailProductSet.

Method: projects.locations.retailCatalogs.retailProductSets.list

HTTP request

GET https://visionai.googleapis.com/v1alpha1/{parent=projects/*/locations/*/retailCatalogs/*}/retailProductSets

Path parameters

parent	string	Required. Parent identifier.

Query parameters

filter	string	Optional. An expression for filtering the results of the request.
pageToken	string	Optional. A token identifying a page of results the server should return.
pageSize	integer	Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
orderBy	string	Optional. A comma-separated list of fields to order by sorted in ascending order. Use "desc" after a field name for descending.

Request body

The request body must be empty.

Response body

If successful, the response body contains data with the following structure:

JSON representation

{
  "retailProductSets": [
    {
      object (RetailProductSets)
    }
  ],
  "nextPageToken": string
}

Method: projects.locations.retailCatalogs.retailProductSets.delete

HTTP request

DELETE https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/*/retailCatalogs/*/retailProductSets/*

Path parameters

name	string	Required. RetailProductSet identifier.

Request body

The request body must be empty.

Response body

If successful, the response body is empty.

Method: projects.locations.retailCatalogs.retailProductSets.add

HTTP request

POST https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/*/retailCatalogs/*/retailProductSets/*}:remove

Path parameters

name	string	Required. RetailProductSet resource name.

Request body

JSON representation

{
  "productIds": [string],
  "productFilter": string
}

Fields

productIds[ ]	string	Resource id of the RetailProducts to be added. They must all belong to the same RetailCatalog as the specified destination RetailProductSet. Up to 200 RetailProducts ids can be specified in one request. Can not be used together with productFilter.
productFilter	string	A standard filter that will be applied to all RetailProducts in the parent RetailCatalog, select items which satisfy filter conditions and add them into the RetailProductSet. Cannot be used together with product_ids. Supported filters: https://google.aip.dev/160

Response body

If successful, the response body contains an instance of Operation.

Method: projects.locations.retailCatalogs.retailProductSets.remove

HTTP request

POST https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/*/retailCatalogs/*/retailProductSets/*}:add

Path parameters

name	string	Required. RetailProductSet resource name.

Request body

JSON representation

{
  "productIds": [string],
  "productFilter": string
}

Fields

productIds[ ]	string	Resource ids of the RetailProducts to be removed. If the specified RetailProducts does not belong to this RetailProductSet, it will be ignored. Up to 200 RetailProducts ids can be specified in one request. Can not be used together with products_filter.
productFilter	string	A standard filter that will be applied to all RetailProducts in the specified RetailProductSet, select items which satisfy filter conditions and remove them from the RetailProductSet. Cannot be used together with product_ids. Supported filters:https://google.aip.dev/160

Response body

If successful, the response body contains an instance of Operation.

Resource: projects.locations.retailCatalogs.retailProductRecognitionIndexes

JSON representation

{
  "name": string,
  "displayName": string,
  "description": string,
  "retailProductSet": [string],
   "resourceState": enum(RetailResourceState),
   "labels": {
    string: string,
    ...
    }
   "createTime": string,
   "updateTime": string
}

Fields

name	String	Output only. Resource name of the RetailProductRecognitionIndex resource.
displayName	String	Optional. Display name of the RetailProductRecognitionIndex.
description	String	Optional. The description of the RetailProductRecognitionIndex.
retailProductSet[]	string	Optional. The resource name of RetailProductSet to use for creating this resource. If set, the RetailProductRecognitionIndex will only contain products in the given RetailProductSet. If not set, all products in the parent catalog will be used.
resourceState	enum	Output only. State of the RetailProductRecognitionIndex.
labels	map (key: string, value: string)	The labels with user-defined metadata to organize your RetailProductRecognitionIndex. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
createTime	string (Timestamp format)	Output only. The create Timestamp.
updateTime	string (Timestamp format)	Output only. The update timestamp.

Method: projects.locations.retailCatalogs.retailProductRecognitionIndexes.create

HTTP request

POST https://visionai.googleapis.com/v1alpha1/{parent=projects/*/locations/*/retailCatalogs/*}/retailProductRecognitionIndexes

Path parameters

parent	string	Required. Parent identifier.

Request body

The request body contains an instance of RetailProductRecognitionIndex.

Response body

If successful, the response body contains a newly created instance of RetailProductRecognitionIndex.

Method: projects.locations.retailCatalogs.retailProductRecognitionIndexes.get

HTTP request

GET https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/*/retailCatalogs/*/retailProductRecognitionIndexes/*

Path parameters

name	string	Required. RetailProductRecognitionIndex identifier.

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of RetailProductRecognitionIndex.

Method: projects.locations.retailCatalogs.retailProductRecognitionIndexes.list

HTTP request

GET https://visionai.googleapis.com/v1alpha1/{parent=projects/*/locations/*/retailCatalogs/*}/retailProductRecognitionIndexes

Path parameters

parent	string	Required. Parent identifier.

Query parameters

filter	string	Optional. An expression for filtering the results of the request.
pageToken	string	Optional. A token identifying a page of results the server should return.
pageSize	integer	Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
orderBy	string	Optional. A comma-separated list of fields to order by sorted in ascending order. Use "desc" after a field name for descending.

Request body

The request body must be empty.

Response body

If successful, the response body contains data with the following structure:

JSON representation

{
  "retailProductRecognitionIndexes": [
    {
      object (RetailProductRecognitionIndex)
    }
  ],
  "nextPageToken": string
}

Method: projects.locations.retailCatalogs.retailProductRecognitionIndexes.delete

HTTP request

DELETE https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/*/retailCatalogs/*/retailProductRecognitionIndexes/*

Path parameters

name	string	Required. ProductRecognitionIndex identifier.

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of Operation.

Resource: projects.locations.retailEndpoints

JSON representation

{
  "name": string,
  "displayName": string,
  "description": string,
  "deployedProductRecognitionIndex": string,
  "resourceState": enum(RetailResourceState),
  "productRecognitionConfig": { object(RetailProductRecognitionConfig) },
  "tagRecognitionConfig": { object(RetailTagRecognitionConfig) },
  "labels": {
    string: string,
    ...
   }
  "createTime": string,
  "updateTime": string
}

Fields

name	String	Output only. Resource name of the RetailEndpoint resource.
displayName	String	Optional. Display name of the RetailEndpoint.
description	String	Optional. The description of the RetailEndpoint.
deployedProductRecognitionIndex	String	Output only. Resource name of the ProductRecognitionIndex deployed to this RetailEndpoint.
productRecognitionConfig	object	Optional. Configuration for product recognition.
tagRecognitionConfig	object	Optional. Configuration for tag recognition.
resourceState	enum	Output only. State of the RetailProductRecognitionIndex.
labels	map (key: string, value: string)	The labels with user-defined metadata to organize your RetailProductRecognitionIndex. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. An object containing a list of "key": value pairs. Example: { "name": "wrench", "mass": "1.3kg", "count": "3" }.
createTime	string (Timestamp format)	Output only. The create Timestamp.
updateTime	string (Timestamp format)	Output only. The update timestamp.

RetailProductRecognitionConfig

JSON representation

{
  "productDetectionModel": string,
  "detectionConfidenceThreshold": float,
  "recognitionConfidenceThreshold": float,
  "additionalConfig": { object }
}

Fields

|

productDetectionModel	string	Required. Model to use to detect products in input images. Supported values: "builtin/stable" (the default) or Vertex AI model resource name.
detectionConfidenceThreshold	float	Optional. Confidence threshold to filter detection results. If not set, a system default value will be used.
recognitionConfidenceThreshold	float	Optional. Confidence threshold to filter recognition results. If not set, a system default value will be used.
additionalConfig	object (Struct format)	Optional. Additional configurations for product recognition.

RetailTagRecognitionConfig

JSON representation

{
  "tagDetectionModel": string,
  "tagParsingModel": string,
  "detectionConfidenceThreshold": float,
  "parsingConfidenceThreshold": float,
  "additionalConfig": { object }
}

Fields

tagDetectionModel	string	Required. Model to use to detect tags in input images. Supported values: Vertex AI model resource.
tagParsingModel	string	Required. Model to parse text on detected tags. Supported values: Vertex AI model resource.
detectionConfidenceThreshold	float	Optional. Confidence threshold to filter detection results. If not set, a system default value will be used.
parsingConfidenceThreshold	float	Optional. Confidence threshold to filter text parsing results. If not set, a system default value will be used.
additionalConfig	object (Struct format)	Optional. Additional configurations for tag recognition.

Method: projects.locations.retailEndpoints.create

HTTP request

POST https://visionai.googleapis.com/v1alpha1/{parent=projects/*/locations/*}/retailEndpoints

Path parameters

parent	string	Required. Parent identifier.

Request body

The request body contains an instance of RetailEndpoint.

Response body

If successful, the response body contains a newly created instance of RetailEndpoint.

Method: projects.locations.retailEndpoints.get

HTTP request

GET https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/*/retailEndpoints/*}

Path parameters

name	string	Required. RetailEndpoint identifier.

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of RetailEndpoint.

Method: projects.locations.retailEndpoints.list

HTTP request

GET https://visionai.googleapis.com/v1alpha1/{parent=projects/*/locations/*}/retailEndpoints

Path parameters

parent	string	Required. Parent identifier.

Query parameters

filter	string	Optional. An expression for filtering the results of the request.
pageToken	string	Optional. A token identifying a page of results the server should return.
pageSize	integer	Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
orderBy	string	Optional. A comma-separated list of fields to order by sorted in ascending order. Use "desc" after a field name for descending.

Request body

The request body must be empty.

Response body

If successful, the response body contains data with the following structure:

JSON representation

{
  "retailEndpoints": [
    {
      object (RetailEndpoint)
    }
  ],
  "nextPageToken": string
}

Method: projects.locations.retailEndpoints.delete

HTTP request

DELETE https://visionai.googleapis.com/v1alpha1/{name=projects/*/locations/*/retailEndpoints/*

Path parameters

name	string	Required. RetailEndpoint identifier.

Request body

The request body must be empty.

Response body

If successful, the response body is empty.

Method: projects.locations.retailEndpoints.deployRetailProductRecognitionIndex

HTTP request

POST https://visionai.googleapis.com/v1alpha1/{retailEndpoint=projects/*/locations/*/retailEndpoints/*}:deployRetailProductRecognitionIndex

Path parameters

retailEndpoint	string	Required. Resource name of the RetailEndpoint resource into where the RetailProductRecognitionIndex is deployed.

Request body

JSON representation

{
  "retailProductRecognitionIndex": string,
}

Fields

retailProductRecognitionIndex	string	Required. The resource name of RetailProductRecognitionIndex to deploy.

Response body

If successful, the response body contains an instance of Operation.

Method: projects.locations.retailEndpoints.undeployRetailProductRecognitionIndex

HTTP request

POST https://visionai.googleapis.com/v1alpha1/{retailEndpoint=projects/*/locations/*/retailEndpoints/*}:undeployRetailProductRecognitionIndex

Path parameters

retailEndpoint	string	Required. Resource name of the RetailEndpoint resource on which the undeployment will act.

Request body

The request body must be empty.

Response body

If successful, the response body contains an instance of Operation.

Method: projects.locations.retailEndpoints.batchAnalyze

HTTP request

POST https://visionai.googleapis.com/v1alpha1/{retailEndpoint=projects/*/locations/*/retailEndpoints/*}:batchAnalyze

Path parameters

retailEndpoint	string	Required. Resource name of the RetailEndpoint to serve the inference request.

Request body

JSON representation

{
  "gcsSource": string,
  "features": { object(Feature) },
  // Union field output can be only one of the following:
  "outputGcsDestination": string,
  "corpus": string,
  // End of list of possible types for union field output.
  "bigqueryTable": string
}

Fields

gcsSource	string	Required. The Cloud Storage location for the input content. Multiple input locations can be provided. The contents of all input locations will be processed in one batch. Supported content: A TXT file, each line is the full path to an image. A maximum of 50k images can be supported in one request.
outputGcsDestination	string	Optional. The Cloud Storage location of the directory where the output is to be written to.
corpus	string	Optional. Resource name of image warehouse corpus. Not yet supported.
bigqueryTable	string	Optional. Resource name of the bigquery table for annotation exports. In the format of "projects/*/datasets/*/tables/*". If set, annotations generated from ML inference will also be exported to the given bigquery table. Not yet supported.
features[]	Object	Required. The type of ML inference to perform.

Feature

JSON representation

{
  "type": enum(Type),
  "productRecognitionConfig": object(RetailProductRecognitionConfig),
  "tagRecognitionConfig": object(RetailTagRecognitionConfig)
}

Fields

type	enum	Required. The Feature Type.
productRecognitionConfig	object	Optional. Per request overrides for product recognition feature. It's effective only if type is set to TYPE_PRODUCT_RECOGNITION.
tagRecognitionConfig	object	Optional. Per request overrides for tag recognition feature. It's effective only if type is set to TYPE_TAG_RECOGNITION.

Response body

If successful, the response body contains an instance of Operation.

Types

GcsSource

JSON representation

{
  "uris": [string]
}

Fields

uris[]	string	Required. References to a Cloud Storage paths.

Type

ENUM values

TYPE_UNSPECIFIED	The default value. Should not be used.
TYPE_PRODUCT_RECOGNITION	Product Recognition. Must be used on a RetailEndpoint with deployed RetailProductRecognitionIndex.
TYPE_TAG_RECOGNITION	Tag Detection and Parsing. Must be used on a RetailEndpoint with RetailTagRecognitionConfig.

RetailProductIoFormat

JSON representation

{
  "retailProduct": { object(RetailProduct) },
  "retailProductImages": [ { object(RetailProductImage) }]
}

Fields

retailProduct	object	Required. RetailProduct to be imported
retailProductImages[ ]	object	Optional. RetailProductImages of the given RetailProduct to be imported.

RetailResourceState

ENUM values

RETAIL_RESOURCE_STATE_UNSPECIFIED	The default value. Should not be used.
RETAIL_RESOURCE_STATE_CREATING	State Creating.
RETAIL_RESOURCE_STATE_CREATED	State Created.
RETAIL_RESOURCE_STATE_UPDATING	State Updating.
RETAIL_RESOURCE_STATE_DELETED	State Deleted.
RETAIL_RESOURCE_STATE_ERROR	State Error.