Dataset Versions
v4
V4 - 2024-09-25 4-56am
Generated on Sep 25, 2024
3784 Total Images
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Dataset Split
Train Set 88%
3330Images
Valid Set 8%
306Images
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 -15% and +15%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels
Bounding Box: Shear: ±2° Horizontal, ±2° Vertical