Dataset Versions
v1
2024-05-18 9:17pm
Generated on May 18, 2024
446 Total Images
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Dataset Split
Train Set 87%
390Images
Valid Set 8%
37Images
Test Set 4%
19Images
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, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels