Dataset Versions

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2024-04-30 4:59pm
v7
·
6 months ago
2024-03-30 11:32pm
v6
·
7 months ago
2024-03-04 5:14pm
v5
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8 months ago
2024-03-02 10:23pm
v4
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8 months ago
2024-03-02 10:13pm
v3
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8 months ago
2024-03-02 10:11pm
v2
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8 months ago
2024-03-02 10:10pm
v1
·
8 months ago
v6

2024-03-30 11:32pm

Generated on Mar 31, 2024
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636 Total Images

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Dataset Split

Train Set 99%
627Images
Valid Set 1%
6Images
Test Set 0%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.1% of pixels

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