Dataset Versions

Versions
2024-06-05 6:53pm
v7
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7 months ago
2024-06-05 6:50pm
v6
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7 months ago
2024-05-07 8:42am
v5
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8 months ago
2024-05-06 8:21pm
v4
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8 months ago
2024-05-06 3:53pm
v3
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8 months ago
2024-05-06 9:57am
v2
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8 months ago
2024-05-04 10:08pm
v1
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8 months ago
v5

2024-05-07 8:42am

Generated on May 7, 2024
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8550 Total Images

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Dataset Split

Train Set 94%
8019Images
Valid Set 6%
531Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -14° and +14°
Shear: ±4° Horizontal, ±6° Vertical
Saturation: Between -29% and +29%
Noise: Up to 1.13% of pixels

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