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Image object detection integration uses AWS Rekognition to detect instances of real-world entities within an image (JPEG or PNG). It means that objects like table, vehicle, and wheel; scene like birthday, graduation, and wedding; and concepts like nature, evening, and landscape are detected.
For each object, scene, and concept, the integration returns one or more labels. Each label provides the object details including:
When using the image object detection integration, you can select the AWS region you want to perform the processing.
For ease of use and help you to analyze the result, you can enable the draw bounding boxes option. This option generates a new image file in addition to the JSON response drawing the bounding boxes on the source image.
Image object detection integration takes an image as input (JPEG or PNG) and returns:
For instance, if a file nameis uploaded and processed by this integration with the DrawBoundingBoxes option enabled, the result of the processing will be:
Seconds to deploy
Additional information to get started with the Image object detection integration.
DrawBoundingBoxes— Generates an image with the bounding boxes returned by the integration.Default value: - Required: No
MaxLabels— The maximum number of labels you want the integration to return in the response. The integration returns the specified number of highest confidence labels.Default value: - Required: No
MinConfidence— Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence lower than this specified value.Default value: - Required: No
Region— The AWS region you want to run the processingDefault value: eu-west-1 - Required: Yes