Logo Detection detects popular product logos within an image.
Logo detection requests
Set up your GCP project and authentication
Detect logos in a local image
The Vision API can perform feature detection on a local image file by sending the contents of the image file as a base64 encoded string in the body of your request.
REST & CMD LINE
Before using any of the request data, make the following replacements:
- BASE64_ENCODED_IMAGE: The base64
representation (ASCII string) of your binary image data. This string should look similar to the
following string:
/9j/4QAYRXhpZgAA...9tAVx/zDQDlGxn//2Q==
HTTP method and URL:
POST https://vision.googleapis.com/v1/images:annotate
Request JSON body:
{ "requests": [ { "image": { "content": "BASE64_ENCODED_IMAGE" }, "features": [ { "type": "LOGO_DETECTION" }, ] } ] }
To send your request, choose one of these options:
curl
Save the request body in a file called request.json
,
and execute the following command:
curl -X POST \
-H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://vision.googleapis.com/v1/images:annotate"
PowerShell
Save the request body in a file called request.json
,
and execute the following command:
$cred = gcloud auth application-default print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }
Invoke-WebRequest `
-Method POST `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://vision.googleapis.com/v1/images:annotate" | Select-Object -Expand Content
If the request is successful, the server returns a 200 OK
HTTP status code and
the response in JSON format.
Response:
{ "responses": [ { "logoAnnotations": [ { "mid": "/m/045c7b", "description": "google", "score": 0.980325, "boundingPoly": { "vertices": [ { "x": 12, "y": 42 }, { "x": 439, "y": 42 }, { "x": 439, "y": 285 }, { "x": 12, "y": 285 } ] } } ] } ] }
Go
Before trying this sample, follow the Go setup instructions in the Vision quickstart using client libraries. For more information, see the Vision Go API reference documentation.
Java
Before trying this sample, follow the Java setup instructions in the Vision API Quickstart Using Client Libraries. For more information, see the Vision API Java API reference documentation.
Node.js
Before trying this sample, follow the Node.js setup instructions in the Vision quickstart using client libraries. For more information, see the Vision Node.js API reference documentation.
Python
Before trying this sample, follow the Python setup instructions in the Vision quickstart using client libraries. For more information, see the Vision Python API reference documentation.
Additional languages
C#: Please follow the C# setup instructions on the client libraries page and then visit the Vision reference documentation for .NET.
PHP: Please follow the PHP setup instructions on the client libraries page and then visit the Vision reference documentation for PHP.
Ruby: Please follow the Ruby setup instructions on the client libraries page and then visit the Vision reference documentation for Ruby.
Detect Logos in a remote image
For your convenience, the Vision API can perform feature detection directly on an image file located in Google Cloud Storage or on the Web without the need to send the contents of the image file in the body of your request.
REST & CMD LINE
Before using any of the request data, make the following replacements:
- CLOUD_STORAGE_IMAGE_URI: the path to a valid
image file in a Cloud Storage bucket. You must at least have read privileges to the file.
Example:
gs://cloud-samples-data/vision/logo/google_logo.jpg
HTTP method and URL:
POST https://vision.googleapis.com/v1/images:annotate
Request JSON body:
{ "requests": [ { "image": { "source": { "gcsImageUri": "CLOUD_STORAGE_IMAGE_URI" } }, "features": [ { "type": "LOGO_DETECTION" }, ] } ] }
To send your request, choose one of these options:
curl
Save the request body in a file called request.json
,
and execute the following command:
curl -X POST \
-H "Authorization: Bearer "$(gcloud auth application-default print-access-token) \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://vision.googleapis.com/v1/images:annotate"
PowerShell
Save the request body in a file called request.json
,
and execute the following command:
$cred = gcloud auth application-default print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }
Invoke-WebRequest `
-Method POST `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://vision.googleapis.com/v1/images:annotate" | Select-Object -Expand Content
If the request is successful, the server returns a 200 OK
HTTP status code and
the response in JSON format.
Response:
{ "responses": [ { "logoAnnotations": [ { "mid": "/m/045c7b", "description": "google", "score": 0.980325, "boundingPoly": { "vertices": [ { "x": 12, "y": 42 }, { "x": 439, "y": 42 }, { "x": 439, "y": 285 }, { "x": 12, "y": 285 } ] } } ] } ] }
Go
Before trying this sample, follow the Go setup instructions in the Vision quickstart using client libraries. For more information, see the Vision Go API reference documentation.
Java
Before trying this sample, follow the Java setup instructions in the Vision quickstart using client libraries. For more information, see the Vision Java API reference documentation.
Node.js
Before trying this sample, follow the Node.js setup instructions in the Vision quickstart using client libraries. For more information, see the Vision Node.js API reference documentation.
Python
Before trying this sample, follow the Python setup instructions in the Vision quickstart using client libraries. For more information, see the Vision Python API reference documentation.
gcloud
To perform image property detection, use the
gcloud ml vision detect-logos
command as shown in the following example:
gcloud ml vision detect-logos gs://cloud-samples-data/vision/logo/google_logo.jpg
Additional languages
C#: Please follow the C# setup instructions on the client libraries page and then visit the Vision reference documentation for .NET.
PHP: Please follow the PHP setup instructions on the client libraries page and then visit the Vision reference documentation for PHP.
Ruby: Please follow the Ruby setup instructions on the client libraries page and then visit the Vision reference documentation for Ruby.
Try it
Try logo detection below. You can use the
image specified already (gs://cloud-samples-data/vision/logo/google_logo.jpg
)
or specify your own image in its place. Send the request by selecting
Execute.
Request body:
{ "requests": [ { "features": [ { "type": "LOGO_DETECTION" } ], "image": { "source": { "imageUri": "gs://cloud-samples-data/vision/logo/google_logo.jpg" } } } ] }