Dataset Versions

v16

2022-11-12 3:08pm

Generated on Nov 12, 2022

Dataset Split

Train Set 88%
1050Images
Valid Set 8%
100Images
Test Set 4%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±30° Horizontal, ±30° Vertical
Exposure: Between -30% and +30%
Noise: Up to 5% of pixels