Dataset Versions
v4
2024-08-28 4:47am
Generated on Aug 28, 2024
5500 Total Images
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Dataset Split
Train Set 91%
5013Images
Valid Set 4%
246Images
Test Set 4%
241Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Grayscale: Apply to 5% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -14% and +14%
Exposure: Between -3% and +3%
Bounding Box: Noise: Up to 0.02% of pixels