Alif Semiconductor / License Plate Detection
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About this project
A license plate detector that uses a combination of AI generated and real license plates to traing a model for finding license plates on cars. The models used are NVIDIA TAO models. This project is specifically tuned to work with Alif Ensemble devices. More documentation may be found at https://docs.edgeimpulse.com/docs/edge-ai-hardware/mcu-+-ai-accelerators/alif-ensemble.
Download block output
| Title | Type | Size | |
|---|---|---|---|
| Image training data | NPY file | 492 windows | |
| Image training labels | JSON file | 492 windows | |
| Image testing data | NPY file | 97 windows | |
| Image testing labels | JSON file | 97 windows | |
| NVIDIA TAO MBv2 SSD model | TensorFlow Lite (float32) | 2 MB | |
| NVIDIA TAO MBv2 SSD model | TensorFlow Lite (int8 quantized) | 697 KB | |
| NVIDIA TAO MBv2 SSD model | ONNX model | 2 MB | |
| NVIDIA TAO MBv2 SSD model | NVIDIA TAO NMS attributes | 364 Bytes | |
| NVIDIA TAO MBv2 SSD model | NVIDIA TAO original TensorRT model | 2 MB | |
| NVIDIA TAO MBv2 SSD model | TensorFlow SavedModel | 2 MB | |
| NVIDIA TAO MBv2 SSD model | Model evaluation metrics (JSON file) | - |
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Summary
Data collected
597 itemsProject info
| Project ID | 367451 |
| Project version | 6 |
| License | Apache 2.0 |
