Dataset Versions
Versions
v1
First
Generated on Mar 13, 2023
96 Total Images
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Dataset Split
Train Set 88%
84Images
Valid Set 8%
8Images
Test Set 4%
4Images
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, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 10px
Noise: Up to 5% of pixels