Dataset Versions
v4
2024-09-20 5:39am
Generated on Sep 20, 2024
1138 Total Images
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Dataset Split
Train Set 88%
996Images
Valid Set 8%
95Images
Test Set 4%
47Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Hue: Between -21° and +21°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 1.53% of pixels