Dataset Versions
Versions
v1
2023-09-24 2:07am
Generated on Sep 23, 2023
23931 Total Images
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Dataset Split
Train Set 87%
20934Images
Valid Set 8%
1998Images
Test Set 4%
999Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 19% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -28% and +28%
Noise: Up to 5% of pixels
Cutout: 7 boxes with 12% size each