Dataset Versions
v1
2024-08-29 4:39am
Generated on Aug 29, 2024
3873 Total Images
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Dataset Split
Train Set 88%
3396Images
Valid Set 8%
321Images
Test Set 4%
156Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels