Curb Detection Dataset
v43
2024-05-29 10:03pm
Generated on May 29, 2024
240 Total Images
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Dataset Split
Train Set 88%
210Images
Valid Set 13%
30Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4px
Noise: Up to 1.99% of pixels