Dataset Versions
v3
2024-05-20 2:13am
Generated on May 19, 2024
1036 Total Images
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Dataset Split
Train Set 94%
978Images
Valid Set 4%
40Images
Test Set 2%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 300x300
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±13° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.1% of pixels