ground_segmentation Dataset
Versions
v1
2024-10-29 6:32pm
Generated on Oct 29, 2024
110 Total Images
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Dataset Split
Train Set 79%
87Images
Valid Set 16%
18Images
Test Set 5%
5Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 600x600
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 2.5px