Dataset Versions
Versions
v1
2024-07-08 1:00pm
Generated on Jul 8, 2024
788 Total Images
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Dataset Split
Train Set 88%
690Images
Valid Set 8%
66Images
Test Set 4%
32Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels