Dataset Versions

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2023-11-17 10:18am
v8
·
a year ago
2023-10-08 7:07pm
v7
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a year ago
2023-10-08 7:05pm
v6
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a year ago
2023-10-08 7:01pm
v5
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a year ago
2023-10-08 6:54pm
v4
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a year ago
2023-10-08 6:52pm
v3
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a year ago
2023-09-18 10:53pm
v2
·
a year ago
2023-09-14 11:39pm
v1
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a year ago
v2

2023-09-18 10:53pm

Generated on Sep 18, 2023
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922 Total Images

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Dataset Split

Train Set 88%
807Images
Valid Set 8%
77Images
Test Set 4%
38Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Hue: Between -88° and +88°
Saturation: Between -25% and +25%
Exposure: Between -14% and +14%
Noise: Up to 6% of pixels

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