Dataset Versions

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Versions
2024-09-17 2:20pm
v6
·
2 months ago
2024-09-16 9:16am
v5
·
2 months ago
2024-09-12 2:58pm
v4
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2 months ago
2024-09-12 5:46am
v3
·
3 months ago
2024-09-10 11:27am
v2
·
3 months ago
2024-09-06 1:32pm
v1
·
3 months ago
v3

2024-09-12 5:46am

Generated on Sep 12, 2024
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2397 Total Images

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Dataset Split

Train Set 87%
2097Images
Valid Set 8%
200Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -180° and +180°
Brightness: Between -25% and +25%
Exposure: Between -17% and +17%
Blur: Up to 4.5px
Noise: Up to 0.85% of pixels

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