Dataset Versions
v2
2024-10-13 1:23pm
Generated on Oct 13, 2024
2340 Total Images
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Dataset Split
Train Set 92%
2160Images
Valid Set 8%
180Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 240x240
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels