Person Detection Dataset

v5

2024-06-14 6:38am

Generated on Jun 14, 2024

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Dataset Split

Train Set 88%
1560Images
Valid Set 8%
148Images
Test Set 4%
72Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-75% Horizontal Region, 30-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -13° and +13°
Grayscale: Apply to 10% of images
Blur: Up to 3.6px
Noise: Up to 1.32% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Blur: Up to 2.5px