Dataset Versions
Versions
v1
2024-08-18 12:34pm
Generated on Aug 18, 2024
871 Total Images
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Dataset Split
Train Set 92%
801Images
Valid Set 8%
70Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Grayscale: Apply to 15% of images
Saturation: Between -19% and +19%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels