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train2-10

Classification

train2-10 Image Dataset

Versions
2023-03-23 3:07am
v1
Mar 22, 2023
v1

2023-03-23 3:07am

Generated on Mar 22, 2023
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6861 Total Images

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Dataset Split

Train Set 100%
6861Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -18° and +18°
Shear: ±19° Horizontal, ±19° Vertical
Saturation: Between -24% and +24%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%