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--- |
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license: mit |
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base_model: google/vivit-b-16x2 |
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tags: |
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- cctv-surveillance |
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- video-classification |
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metrics: |
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- accuracy |
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- f1 |
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- recall |
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- precision |
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--- |
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## Model Performance |
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The model achieved the following scores on the evaluation dataset: |
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- **Accuracy**: 94.6% |
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- **F1 Score**: 94.3% |
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- **Recall**: 94.6% |
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- **Precision**: 94.5% |
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## Intended Use & Limitations |
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- **Best for:** CCTV footage analysis, anomaly detection |
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- **Not suitable for:** Non-surveillance video types, real-time processing with limited hardware |
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## Training Details |
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- **Learning Rate:** 5e-6 |
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- **Batch Size:** 2 |
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- **Optimizer:** Adam |
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- **Training Steps:** 4176 |
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## Framework Versions |
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- Transformers: 4.39.3 |
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- PyTorch: 2.1.2 |
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- Datasets: 2.18.0 |
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