Dataset Versions
Versions
v1
2024-05-30 9:36pm
Generated on May 30, 2024
231 Total Images
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Dataset Split
Train Set 82%
189Images
Valid Set 14%
32Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -24° and +24°
Shear: ±11° Horizontal, ±15° Vertical
Hue: Between -32° and +32°
Exposure: Between -15% and +15%
Noise: Up to 1.01% of pixels