Dataset Versions
v5
V5 2024-09-27 5-42am
Generated on Sep 27, 2024
3773 Total Images
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Dataset Split
Train Set 88%
3321Images
Valid Set 8%
304Images
Test Set 4%
148Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Saturation: Between -5% and +5%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.02% of pixels