Dataset Versions
v2
2024-02-10 8:15pm
Generated on Feb 10, 2024
259 Total Images
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Dataset Split
Train Set 90%
234Images
Valid Set 5%
13Images
Test Set 5%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±10° Vertical
Noise: Up to 0.1% of pixels