Anomaly Detection in Crowds Dataset

v10

2024-08-31 8:35am

Generated on Aug 31, 2024

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Dataset Split

Train Set 90%
351Images
Valid Set 7%
27Images
Test Set 3%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Blur: Up to 0.3px
Noise: Up to 0.1% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical