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anc_s

Instance Segmentation

anc_s Image Dataset

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Versions
2024-03-12 12:33pm
v32
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4 months ago
2024-02-05 10:33pm
v31
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5 months ago
2024-01-15 1:01pm
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5 months ago
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6 months ago
2024-01-03 10:38am
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6 months ago
2024-01-02 11:07am
v26
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6 months ago
2024-01-01 7:25pm
v24
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6 months ago
2023-12-01 1:05am
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7 months ago
2023-11-18 4:16pm
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7 months ago
2023-11-08 6:52pm
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8 months ago
2023-11-06 11:23pm
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8 months ago
2023-10-31 1:00am
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8 months ago
2023-05-27 11:28pm
v1
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a year ago
v32

2024-03-12 12:33pm

Generated on Mar 12, 2024
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3336 Total Images

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Dataset Split

Train Set 93%
3096Images
Valid Set 4%
120Images
Test Set 4%
120Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 1 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -5% and +5%
Blur: Up to 1.5px
Noise: Up to 0.45% of pixels
Mosaic: Applied