Dataset Versions

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2023-11-15 12:01am
v7
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a year ago
2023-11-13 12:33am
v6
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a year ago
2023-11-12 11:11pm
v5
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a year ago
2023-11-12 10:33pm
v4
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a year ago
2023-11-12 2:15pm
v3
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a year ago
2023-11-12 2:06pm
v2
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a year ago
2023-11-09 9:09pm
v1
·
a year ago
v3

2023-11-12 2:15pm

Generated on Nov 12, 2023
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78 Total Images

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Dataset Split

Train Set 88%
69Images
Valid Set 8%
6Images
Test Set 4%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%

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