Dataset Versions
v2
2024-08-17 9:31am
Generated on Aug 17, 2024
1450 Total Images
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Dataset Split
Train Set 94%
1365Images
Valid Set 4%
56Images
Test Set 2%
29Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Saturation: Between -24% and +24%
Brightness: Between -24% and +24%
Blur: Up to 2.5px
Noise: Up to 2.2% of pixels