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anomaly_detection_model – AI Model by manubunnyy | AlphaNeural AI
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manubunnyy
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anomaly_detection_model
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safetensors
cctv-surveillance
video-classification
google/vivit-b-16x2
finetune
mit
us
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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