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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
v29
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5 months ago
2024-01-08 10:00pm
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6 months ago
2024-01-03 10:38am
v27
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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
v20
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7 months ago
2023-11-18 4:16pm
v19
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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
·
a year ago
v20

2023-12-01 1:05am

Generated on Dec 1, 2023
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4320 Total Images

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Dataset Split

Train Set 92%
3984Images
Valid Set 4%
164Images
Test Set 4%
172Images

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
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied