Dataset Versions
v1
2024-04-07 10:53pm
Generated on Apr 7, 2024
696 Total Images
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Dataset Split
Train Set 88%
609Images
Valid Set 8%
57Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied