Dataset Versions
v4
2024-03-21 4:08pm
Generated on Mar 21, 2024
780 Total Images
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Dataset Split
Train Set 88%
684Images
Valid Set 8%
64Images
Test Set 4%
32Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 0.7px
Noise: Up to 0.3% of pixels