Dataset Versions
v5
2024-08-20 2:26am
Generated on Aug 20, 2024
640 Total Images
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Dataset Split
Train Set 88%
561Images
Valid Set 8%
54Images
Test Set 4%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -20° and +20°
Saturation: Between -30% and +30%
Exposure: Between -14% and +14%
Blur: Up to 3.7px
Noise: Up to 0.85% of pixels
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