Dataset Versions

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Versions
2023-08-16 1:47pm
v7
·
a year ago
2023-08-03 6:47pm
v6
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a year ago
2023-07-17 12:41pm
v5
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a year ago
2023-07-05 6:17pm
v3
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a year ago
2023-07-03 8:20pm
v2
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a year ago
2023-06-28 11:40am
v1
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a year ago
v5

2023-07-17 12:41pm

Generated on Jul 17, 2023
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Dataset Split

Train Set 92%
2178Images
Valid Set 6%
135Images
Test Set 2%
44Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -4° and +4°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 5% of pixels
Mosaic: Applied

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