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pellet Sg

Instance Segmentation

pellet Sg Image Dataset

Try Pre-Trained Model
Versions
2024-02-15 9:32pm
v7
Feb 15, 2024
2024-02-15 9:24pm
v6
Feb 15, 2024
2024-02-02 12:38pm
v5
Feb 2, 2024
2024-02-02 12:10pm
v1
Feb 2, 2024
v7

2024-02-15 9:32pm

Generated on Feb 15, 2024
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754 Total Images

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Dataset Split

Train Set 88%
660Images
Valid Set 8%
63Images
Test Set 4%
31Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 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
Grayscale: Apply to 25% of images
Saturation: Between -33% and +33%
Exposure: Between -11% and +11%
Noise: Up to 1.37% of pixels