Dataset Versions
v3
2023-12-05 12:01pm
Generated on Dec 5, 2023
6451 Total Images
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Dataset Split
Train Set 93%
5991Images
Valid Set 5%
325Images
Test Set 2%
135Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 1 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 5% of pixels