Consumer Goods Cloud Developer Guide

Consumer Goods Standard Objects
Consumer Goods Metadata APIs
Einstein Object Detection Standard Objects
Einstein Object Detection REST APIs
REST Reference
Resources
Build a Model
Identify Objects in an Image
View Objects Identified in an Image
Identify Products and Facings in an In-Store Location Image
View Identified Products and Facings in an In-Store Location Image
Add Example Images
Update the Model
Request Bodies
Response Bodies
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Resources

Use these resources to build a model, identify objects in images, check product facings in-store locations, add examples to update the model, and update the model.

Available resources:

Resource Description
/services/data/vXX.X/connect/object-detection​/datasets/datasetId/train Use a dataset available in your org to build a model that identifies objects in an image.
/services/data/vXX.X/connect/object-detection​/images After the model is built, use it to identify objects in an image.
/services/data/vXX.X/connect/object-detection​/images/imageId After objects are detected in an image, view the details of the detected objects.
/services/data/vXX.X/connect/object-detection​/images/stats After the model is built, use it to identify products placed in an in-store shelf and get a product wise facings.
/services/data/vXX.X/connect/object-detection​/images/imageId/stats After products are detected in an image of an in-store location, view the details of the identified products and their facings.
/services/data/vXX.X/connect/object-detection​/images/imageId/feedback Add example images that contain the objects or products that you want the model to identify better or additionally. View the details of the example image.
/services/data/vXX.X/connect/object-detection​/models/modelId/retrain After you have adequate example images, you can update the model to ensure it detects the objects in the example images better or additionally.