Dataset Versions
v2
2024-12-25 10:08am
Generated on Dec 25, 2024
5095 Total Images
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Dataset Split
Train Set 90%
4587Images
Valid Set 6%
304Images
Test Set 4%
204Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Saturation: Between -23% and +23%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Noise: Up to 0.1% of pixels