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2023-12-11 4:50pm
v8
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a year ago
2023-12-11 4:46pm
v7
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a year ago
2023-12-07 11:29am
v6
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a year ago
2023-12-07 9:13am
v5
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a year ago
2023-12-06 3:58pm
v4
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a year ago
2023-12-04 4:21pm
v3
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a year ago
2023-12-04 3:04pm
v2
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a year ago
2023-12-04 3:02pm
v1
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a year ago
v5

2023-12-07 9:13am

Generated on Dec 7, 2023
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32200 Total Images

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Dataset Split

Train Set 88%
28200Images
Valid Set 9%
3000Images
Test Set 3%
1000Images

Preprocessing

Resize: Fit within 100x100
Tile: 10 rows x 10 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -30% and +30%

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