Dataset Versions
v2
2023-09-27 1:59pm
Generated on Sep 27, 2023
1016 Total Images
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Dataset Split
Train Set 95%
966Images
Valid Set 3%
30Images
Test Set 2%
20Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1080x1080
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°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -36% and +36%
Noise: Up to 5% of pixels