Dataset Versions
Versions
v1
2023-09-06 4:51pm
Generated on Sep 6, 2023
310 Total Images
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Dataset Split
Train Set 96%
297Images
Valid Set 3%
8Images
Test Set 2%
5Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%