Dataset Versions
Versions
v1
2023-11-10 12:24pm
Generated on Nov 10, 2023
8053 Total Images
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Dataset Split
Train Set 88%
7047Images
Valid Set 8%
671Images
Test Set 4%
335Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -3° and +3°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 1% of pixels