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Model
4 class object detection network to detect cars in an image.
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| Field | Response |
|---|---|
| Intended Application(s) & Domain(s): | Detecting vehicles, persons, road signs and two-wheelers. |
| Model Type: | Object Detection |
| Intended Users: | Developers working in smart city and transportation applications. |
| Output: | Bounding Box(es), Category Label(s), Confidence Score(s) |
| Describe how the model works: | Detects cars, persons, road signs, and bicycles within an image and returns bounding box coordinates, labels, and confidence scores for each category. |
| Technical Limitations: | Model accuracy may be reduced in low-light, low contrast lighting conditions, with warped images, objects positioning relatively close to or far away from the camera frame (smaller than 20x20 pixels), and with objects occluded (less than 40% of the object is visible) or truncated. The accuracy may also be lower if run against images from other countries, especially if the country has a very different traffic pattern than the US. |
| Verified to have met prescribed NVIDIA standards: | Yes |
| Performance Metrics: | Accuracy, Precision, Recall |
| Potential Known Risks: | This model may misclassify cars, persons, road signs, and bicycles. |
| Licensing: | https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/ |