Dataset Versions
v1
first
Generated on Sep 11, 2024
593 Total Images
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Dataset Split
Train Set 90%
531Images
Valid Set 7%
39Images
Test Set 4%
23Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.54% of pixels