Dataset Versions

Versions
2024-05-11 9:38pm
v22
·
7 months ago
2024-04-19 9:08am
v21
·
8 months ago
2024-04-13 3:07pm
v20
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8 months ago
2024-03-25 1:33pm
v19
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8 months ago
1600-1200
v18
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9 months ago
640-480
v17
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9 months ago
2024-03-11 10:39am
v15
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9 months ago
2024-03-11 10:27am
v14
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9 months ago
2024-03-08 10:31am
v13
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9 months ago
2024-03-07 4:46pm
v12
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9 months ago
2024-03-04 6:07pm
v11
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9 months ago
2024-03-04 6:04pm
v10
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9 months ago
2024-03-04 6:00pm
v9
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9 months ago
2024-02-27 3:51pm
v8
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9 months ago
2024-02-27 3:46pm
v7
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9 months ago
2024-02-27 3:43pm
v6
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9 months ago
2024-02-27 1:43pm
v5
·
9 months ago
2024-01-29 2:08pm
v3
·
10 months ago
v20

2024-04-13 3:07pm

Generated on Apr 13, 2024
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1441 Total Images

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Dataset Split

Train Set 93%
1341Images
Valid Set %
0Images
Test Set 7%
100Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Fill (with center crop) in 1920x1200

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Hue: Between -19° and +19°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 2.5px

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