Dataset Versions
v4
2024-06-05 9:30am
Generated on Jun 5, 2024
629 Total Images
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Dataset Split
Train Set 88%
552Images
Valid Set 8%
52Images
Test Set 4%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.5% of pixels