![]() Tagging isn't limited to the main subject, such as a person in the foreground, but also includes the setting (indoor or outdoor), furniture, tools, plants, animals, accessories, gadgets, and so on. When the tags are ambiguous or not common knowledge, the API response provides hints to clarify the context of the tag. Identify and tag visual features in an image, from a set of thousands of recognizable objects, living things, scenery, and actions. It also lets you know when there are multiple instances of the same tag in an image. You can use this functionality to process further relationships between the objects in an image. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image. Object detection is similar to tagging, but the API returns the bounding box coordinates for each tag applied. You can use this functionality to generate descriptions of separate parts of an image. The API returns the bounding box coordinates (in pixels) of each object found in the image, plus a caption. Version 4.0 also lets you use dense captioning, which generates detailed captions for individual objects that are found in the image. It is only available in the following geographic regions: East US, France Central, Korea Central, North Europe, Southeast Asia, West Europe, West US. The version 4.0 image captioning model is a more advanced implementation and works with a wider range of input images. Computer Vision's algorithms generate captions based on the objects identified in the image. Generate a caption of an image in human-readable language, using complete sentences. The bounding box coordinates of each detected person are returned, along with a confidence score. Version 4.0 preview of Image Analysis offers the ability to detect people appearing in images. Extract text from images Detect people in images (v4.0 preview only) Compared with the async Computer Vision 3.2 Read API, the new version offers the familiar Read OCR engine in a unified performance-enhanced synchronous API that makes it easy to get OCR along with other insights in a single API call. Version 4.0 preview of Image Analysis offers the ability to extract readable text from images. Model customization Read text from images (v4.0 preview only) Bring your own images, label them with custom tags, and Image Analysis will train a model customized for your use case. You can create and train custom models to do image classification or object detection. All of the features in the list below are provided by the Analyze Image API. You can analyze images to provide insights about their visual features and characteristics. Image captioning in version 3.2 is available in all Computer Vision regions. The image captioning feature in Image Analysis 4.0 is only supported in these Azure regions. You'll also need to use version 3.2 if you want to do image captioning and your Azure Computer Vision resource is outside these Azure regions: East US, France Central, Korea Central, North Europe, Southeast Asia, West Europe, and West US. Use version 3.2 if your use case is not yet supported by 4.0. ![]() We recommend you use the Image Analysis 4.0 API if it supports your use case. Wider range of features use version 3.2 if your use case is not yet supported in version 4.0 Tags, Objects, Descriptions, Brands, Faces, Image type, Color scheme, Landmarks, Celebrities, Adult content, Smart crop Read text, Captions, Tags, Object detection, Custom image classification / object detection, People, Smart cropīetter models use version 4.0 if it supports your use case. Select the Image Analysis API version that best fits your requirements.
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