Dataset Versions

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Versions
2023-04-16 2:40pm
v28
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2 years ago
2023-04-16 2:03pm
v27
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2 years ago
2023-04-15 2:59pm
v26
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2 years ago
2023-04-15 2:33pm
v25
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2 years ago
2023-04-15 1:49pm
v24
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2 years ago
2023-04-14 11:00am
v23
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2 years ago
2023-03-24 3:17pm
v22
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2 years ago
2023-03-23 10:24pm
v20
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2 years ago
2023-03-20 12:45pm
v17
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2 years ago
2023-03-19 7:34pm
v15
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2 years ago
2023-03-19 5:24pm
v13
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2 years ago
2023-03-13 10:50am
v9
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2 years ago
512x512_size
v8
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2 years ago
v6
v6
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2 years ago
2023-03-11 1:15pm
v5
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2 years ago
2023-03-10 8:01am
v1
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2 years ago
v15

2023-03-19 7:34pm

Generated on Mar 19, 2023
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1815 Total Images

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Dataset Split

Train Set 90%
1635Images
Valid Set 5%
90Images
Test Set 5%
90Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Modify Classes: 9 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 16% size each

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