Dataset Versions
Versions
v1
2024-10-02 2:35pm
Generated on Oct 2, 2024
69 Total Images
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Dataset Split
Train Set 87%
60Images
Valid Set 9%
6Images
Test Set 4%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 38% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -43° and +43°
Saturation: Between -31% and +31%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels