Dataset Versions
v3
2024-12-13 11:23pm
Generated on Dec 13, 2024
1588 Total Images
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Dataset Split
Train Set 74%
1174Images
Valid Set 19%
306Images
Test Set 7%
108Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels