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2023-03-04 8:16pm
v22
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2 years ago
2022-10-30 8:14pm
v21
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2 years ago
2022-10-30 7:19pm
v20
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2022-10-22 7:38pm
v19
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2 years ago
2022-10-21 3:48pm
v18
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2 years ago
2022-10-21 2:59pm
v17
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2 years ago
2022-10-21 12:21pm
v16
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2 years ago
2022-10-20 9:27pm
v15
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2 years ago
2022-10-20 9:26pm
v14
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2 years ago
2022-10-19 8:18pm
v13
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2 years ago
2022-10-19 1:39pm
v12
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2 years ago
2022-10-18 6:34pm
v11
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2 years ago
2022-10-17 5:42pm
v10
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2 years ago
2022-10-17 8:37am
v9
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2 years ago
2022-10-16 7:44pm
v8
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2 years ago
2022-10-15 9:08pm
v7
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2 years ago
2022-10-15 8:02pm
v6
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2 years ago
2022-10-15 4:41pm
v4
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2 years ago
v4

2022-10-15 4:41pm

Generated on Oct 15, 2022
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310 Total Images

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Dataset Split

Train Set 91%
282Images
Valid Set 9%
28Images
Test Set %
0Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Shear: ±23° Horizontal, ±23° Vertical
Blur: Up to 1.5px
Cutout: 3 boxes with 2% size each
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%

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