Alexandr

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1p5

Classification

1p5 Image Dataset

Versions
2022-04-11 10:22pm
v3
Apr 11, 2022
2022-04-08 9:35pm
v2
Apr 8, 2022
2022-04-08 9:27pm
v1
Apr 8, 2022
v3

2022-04-11 10:22pm

Generated on Apr 11, 2022
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25999 Total Images

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Dataset Split

Train Set 92%
24000Images
Valid Set 8%
1999Images
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