Dataset Versions
Versions
v1
2023-11-07 3:23pm
Generated on Nov 7, 2023
3360 Total Images
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Dataset Split
Train Set 88%
2940Images
Valid Set 8%
280Images
Test Set 4%
140Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Blur: Up to 2px
Noise: Up to 15% of pixels
Cutout: 3 boxes with 30% size each