Dataset Versions
v3
2024-09-27 1:20pm
Generated on Sep 27, 2024
61 Total Images
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Dataset Split
Train Set 89%
54Images
Valid Set 8%
5Images
Test Set 3%
2Images
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, 14% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±0° Vertical
Grayscale: Apply to 100% of images
Hue: Between -24° and +24°
Saturation: Between -31% and +31%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 0.97% of pixels