Dataset Versions

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2024-11-05 5:51pm
v10
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16 days ago
2024-11-05 10:44am
v9
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16 days ago
2024-11-04 12:39pm
v8
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17 days ago
2024-11-04 12:23pm
v7
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17 days ago
2024-11-04 12:09pm
v6
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17 days ago
2024-11-03 7:03pm
v5
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18 days ago
2024-10-07 8:19am
v3
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a month ago
2024-10-07 4:08am
v2
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a month ago
2024-10-06 4:29pm
v1
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a month ago
v7

2024-11-04 12:23pm

Generated on Nov 4, 2024
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Dataset Split

Train Set 87%
552Images
Valid Set 9%
56Images
Test Set 4%
24Images

Preprocessing

Auto-Orient: Applied
Static Crop: 8-93% Horizontal Region, 17-75% Vertical Region
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%

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