Dataset Versions
v1
2024-10-24 7:34pm
Generated on Oct 24, 2024
21 Total Images
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Dataset Split
Train Set 86%
18Images
Valid Set 10%
2Images
Test Set 5%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Exposure: Between -21% and +21%
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down