Dataset Versions
v1
2023-06-09 8:52am
Generated on Jun 9, 2023
8388 Total Images
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Dataset Split
Train Set 87%
7335Images
Valid Set 8%
703Images
Test Set 4%
350Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each