Dataset Versions
v1
2025-01-06 1:51am
Generated on Jan 5, 2025
726 Total Images
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Dataset Split
Train Set 88%
639Images
Valid Set 12%
87Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 40% of images
Hue: Between -50° and +50°
Saturation: Between -40% and +40%
Brightness: Between -25% and +25%