Dataset Versions
v3
2024-04-30 5:53pm
Generated on Apr 30, 2024
3840 Total Images
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Dataset Split
Train Set 88%
3360Images
Valid Set 9%
352Images
Test Set 3%
128Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -10% and +10%
Noise: Up to 1% of pixels