Dataset Versions
Versions
v2
2023-08-15 12:11am
Generated on Aug 14, 2023
23608 Total Images
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Dataset Split
Train Set 88%
20664Images
Valid Set 8%
1965Images
Test Set 4%
979Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 4% of pixels
Cutout: 5 boxes with 25% size each