Dataset Versions
Versions
v1
2024-09-24 11:24am
Generated on Sep 24, 2024
3133 Total Images
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Dataset Split
Train Set 90%
2811Images
Valid Set 7%
232Images
Test Set 3%
90Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -3° and +3°
Hue: Between -36° and +36°
Saturation: Between -17% and +17%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 1.13% of pixels