Dataset Versions
Versions
v1
2024-03-13 2:38am
Generated on Mar 13, 2024
7704 Total Images
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Dataset Split
Train Set 96%
7425Images
Valid Set 2%
183Images
Test Set 1%
96Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Exposure: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 1.05% of pixels
Cutout: 2 boxes with 10% size each