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Retail Object Detection
Model
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Retail Object Detection

DINO (DETR with Improved DeNoising Anchor Boxes) based object detection network to detect retail objects on a checkout counter.

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Intended Application(s) & Domain(s):Detecting retail objects
Model Type:Object Detection
Intended Users:Developers working in smart spaces, retail, and industrial applications with people.
Output:Bounding Box(es), Category Label(s), Confidence Score(s)
Describe how the model works:Detects retail items within an image and classifies object as retail item or not.
Technical Limitations:Model should not be used in low-light, low contrast lighting conditions, with warped or motion-induced images, or very small and very large objects. Model is not as accurate with monochrome or infrared images. Model accuracy may vary with occlusion or truncation.
Verified to have met prescribed NVIDIA standards:Yes
Performance Metrics:Intersection over Union (IoU), Mean Average Precision (mAP)
Potential Known Risks:This model may fail to detect a retail object.
Licensing:https://developer.download.nvidia.com/licenses/tao_toolkit_21-08_models_eula.pdf?t=eyJscyI6ImdzZW8iLCJsc2QiOiJodHRwczovL3d3dy5nb29nbGUuY29tLyJ9