Dataset Versions
v2
2024-08-01 10:15pm
Generated on Aug 1, 2024
840 Total Images
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Dataset Split
Train Set 88%
735Images
Valid Set 8%
70Images
Test Set 4%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -13% and +13%
Blur: Up to 1.1px
Noise: Up to 1.88% of pixels