Dataset Versions
Versions
v1
2024-10-28 8:48am
Generated on Oct 28, 2024
337 Total Images
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Dataset Split
Train Set 89%
300Images
Valid Set 8%
27Images
Test Set 3%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Blur: Up to 2.5px