Dataset Versions
v3
2024-04-01 2:49pm
Generated on Apr 1, 2024
826 Total Images
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Dataset Split
Train Set 92%
762Images
Valid Set 8%
64Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 2.5px