Instance Segmentation Dataset
v2
2024-09-12 3:54pm
Generated on Sep 12, 2024
9660 Total Images
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Dataset Split
Train Set 88%
8460Images
Valid Set 8%
803Images
Test Set 4%
397Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±9° Horizontal, ±9° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -33% and +33%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.96% of pixels
Bounding Box: Noise: Up to 0.28% of pixels