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