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final-bread

Instance Segmentation

final-bread Image Dataset

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Versions
2023-06-19 3:44pm
v4
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a year ago
2023-06-19 11:05am
v3
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a year ago
2023-06-18 6:33pm
v2
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a year ago
2023-06-18 4:41pm
v1
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a year ago
v3

2023-06-19 11:05am

Generated on Jun 19, 2023
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4101 Total Images

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Dataset Split

Train Set 93%
3798Images
Valid Set 5%
224Images
Test Set 2%
79Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 1 dropped
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images
Exposure: Between -10% and +10%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 5% of pixels