Dataset Versions
v1
2023-02-17 1:46pm
Generated on Feb 17, 2023
507 Total Images
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Dataset Split
Train Set 87%
441Images
Valid Set 8%
42Images
Test Set 5%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -11% and +11%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 4% of pixels