Dataset Versions

Versions
2022-04-11 10:25pm
v3
·
3 years ago
2022-04-11 10:17pm
v2
·
3 years ago
2022-04-08 9:45pm
v1
·
3 years ago
v3

2022-04-11 10:25pm

Generated on Apr 11, 2022
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26000 Total Images

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Dataset Split

Train Set 92%
24000Images
Valid Set 8%
2000Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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