Anomaly Detection Model

--- 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