Model
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Retail Object DetectionDINO (DETR with Improved DeNoising Anchor Boxes) based object detection network to detect retail objects on a checkout counter.
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| Field | Response |
|---|---|
| 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 |