Kochchi Instance Segmentation Computer Vision Dataset
119 Total Images
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Dataset Split
Train Set 86%
102Images
Valid Set 9%
11Images
Test Set 5%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%