Dataset Versions
Versions
v1
2024-10-27 8:27am
Generated on Oct 27, 2024
11901 Total Images
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Dataset Split
Train Set 87%
10413Images
Valid Set 8%
992Images
Test Set 4%
496Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.2px
Noise: Up to 0.1% of pixels