Dataset Versions

Versions
2023-07-01 11:06pm
v4
·
a year ago
2023-07-01 10:40pm
v2
·
a year ago
2023-07-01 10:38pm
v1
·
a year ago
v4

2023-07-01 11:06pm

Generated on Jul 1, 2023
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2800 Total Images

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Dataset Split

Train Set 96%
2700Images
Valid Set 2%
50Images
Test Set 2%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -20% and +20%
Mosaic: Applied

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