Dataset Versions
v1
2023-09-18 9:47am
Generated on Sep 18, 2023
1839 Total Images
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Dataset Split
Train Set 92%
1698Images
Valid Set 4%
71Images
Test Set 4%
70Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Rotation: Between -13° and +13°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Noise: Up to 5% of pixels