leather_defect_detection Dataset
v1
2023-05-10 1:02pm
Generated on May 10, 2023
222 Total Images
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Dataset Split
Train Set 88%
195Images
Valid Set 8%
18Images
Test Set 4%
9Images
Preprocessing
No preprocessing steps were applied.
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 -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 100% of images
Hue: Between -50° and +50°
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 20% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 3% of pixels