Dataset Versions

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Versions
2023-05-21 11:25am
v3
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2 years ago
2023-05-21 11:16am
v2
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2 years ago
2023-05-21 11:05am
v1
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2 years ago
v3

2023-05-21 11:25am

Generated on May 21, 2023
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6300 Total Images

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Dataset Split

Train Set 95%
6000Images
Valid Set 3%
200Images
Test Set 2%
100Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels

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