Dataset Versions
v4
2nd_aug3
Generated on Mar 21, 2024
327 Total Images
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Dataset Split
Train Set 94%
308Images
Valid Set 4%
13Images
Test Set 2%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical