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Model
Object Detection network to detect license plates in an image of a car.
Use the NGC CLI to download:
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| Field | Response |
|---|---|
| Intended Application(s) & Domain(s): | Detecting vehicle license plates for vehicle identification and traffic management |
| 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 and one or more license plates within an image and returns respective bounding box coordinates, labels, and confidence scores. |
| 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: | Precision |
| Potential Known Risks: | This model may fail to detect vehicle license plates. |
| Licensing: | https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/ |