Dataset Versions
v2
2024-04-15 10:08am
Generated on Apr 15, 2024
1259 Total Images
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Dataset Split
Train Set 90%
1134Images
Valid Set 6%
75Images
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
Rotation: Between -45° and +45°
Saturation: Between -34% and +34%
Brightness: Between -15% and +15%
Exposure: Between -17% and +17%
Blur: Up to 2px
Bounding Box: Shear: ±11° Horizontal, ±11° Vertical