|Android Studio||The official integrated development environment (IDE) for Android app development.|
|CocoaPods||A dependency manager used here for iOS app development; for Swift and Objective-C Cocoa projects to provide a standard format for managing external libraries.|
|Core ML||A machine learning framework used in Apple products. TensorFlow lite models can be converted to CoreML format for use on Apple devices.|
|Container ("export to Docker/container")||The runtime instance of an image; one of the export options for your model using AutoML Vision Edge.|
|Edge devices||A device that provides compute capability outside the cloud. The demand for privacy/confidentiality, low latency and bandwidth constraints drive demand for predictions with our models on these devices. Compute and power constraints lead to models specialized for them.|
|Edge TPU||A type of Edge device; Google's purpose-built application-specific integrated
circuit (ASIC) designed to run inference at the edge.
|Firebase||A mobile and web application development platform.|
|FlatBuffers||Similar to Protocol buffers, with the primary difference being that FlatBuffers do not need a parsing/ unpacking step to a secondary representation before you can access data, often coupled with per-object memory allocation.|
|IoT||Internet of Things (IoT); the use of network-connected devices, embedded in the physical environment, to improve some existing process or to enable a new scenario not previously possible.|
|ML Kit||ML Kit acts as an API layer to your custom model; a mobile software development kit (SDK) that allows you to use a custom model on-device.|
|Pillow||The Python Imaging Library (PIL) adds image processing capabilities to your Python interpreter; Pillow is a modified version of the base PIL.|
|Protocol buffers ("protobuf")||Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data. Similar to FlatBuffers.|
|TensorFlow||TensorFlow is an end-to-end open source platform for machine learning; software used to create a machine learning model.|
|TensorFlow lite model (TF Lite/
||A TensorFlow ML model that has been compressed for use on mobile and embedded
||A class for running TensorFlow operations using a TensorFlow model.|
|Xcode||Xcode is an integrated development environment (IDE) for macOS containing a suite of software development tools developed by Apple for developing software for macOS, iOS, watchOS, and tvOS.|
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Last updated 2020-06-22 UTC.