Dataset Versions

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Versions
2024-12-09 6:32pm
v13
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13 days ago
2024-12-09 5:27pm
v12
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13 days ago
2024-12-09 4:19pm
v11
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13 days ago
2024-12-09 3:18pm
v10
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13 days ago
2024-12-09 2:04pm
v9
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13 days ago
2024-12-05 10:41am
v8
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17 days ago
2024-12-04 4:49pm
v7
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18 days ago
2024-12-04 2:44pm
v6
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18 days ago
2024-12-04 1:14pm
v5
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18 days ago
2024-11-22 6:19pm
v4
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a month ago
2024-10-31 5:59pm
v3
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2 months ago
2024-08-26 12:14pm
v2
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4 months ago
2024-08-26 12:12pm
v1
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4 months ago
v4

2024-11-22 6:19pm

Generated on Nov 22, 2024
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2448 Total Images

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Dataset Split

Train Set 88%
2142Images
Valid Set 8%
204Images
Test Set 4%
102Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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