Dataset Versions

Versions
2023-12-04 6:02pm
v6
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a year ago
2023-12-04 6:01pm
v5
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a year ago
2023-12-04 6:01pm
v4
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a year ago
2023-12-04 5:57pm
v3
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a year ago
2023-12-04 5:52pm
v2
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a year ago
2023-12-04 5:52pm
v1
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a year ago
v2

2023-12-04 5:52pm

Generated on Dec 4, 2023
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1963 Total Images

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Dataset Split

Train Set 89%
1743Images
Valid Set 10%
190Images
Test Set 2%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical

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