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Model
4 class object detection model for traffic intersections
Use the NGC CLI to download:
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| Field | Response |
|---|---|
| Intended Application(s) & Domain(s): | Detecting Objects |
| Model Type: | Convolutional Neural Network + Transformer Encoder Decoder |
| Intended Users: | The model is intended for developers that build computer vision applications to detect cars, road signs, persons or two-wheelers in a video. |
| Output: | Bounding Box, Class Labels |
| Describe how the model works: | Extracts features from provided images for the car, persons, two-wheelers and road-signs. |
| Technical Limitations: | The model may not perform well in low-light and low contrast video sequences and not detect cars that are more than 80% occluded. |
| Verified to have met prescribed NVIDIA standards: | Yes |
| Performance Metrics: | Mean Average Precision (mAP) |
| Licensing: | NVIDIA Open Model License |
| Potential Known Risks: | The model may not not detect objects that are more than 80% occluded. |