Dataset Versions

Versions
2024-03-23 10:52pm
v7
·
9 months ago
2024-03-23 10:41pm
v6
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9 months ago
2024-03-07 10:48am
v5
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10 months ago
2024-02-28 5:46pm
v4
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10 months ago
2024-02-06 10:17pm
v3
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a year ago
2024-01-26 4:30pm
v2
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a year ago
2024-01-25 6:25pm
v1
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a year ago
v7

2024-03-23 10:52pm

Generated on Mar 23, 2024
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5674 Total Images

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Dataset Split

Train Set 89%
5064Images
Valid Set 5%
300Images
Test Set 5%
310Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±8° Horizontal, ±8° Vertical
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1.2px
Noise: Up to 2% of pixels

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