Dataset Versions

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2024-04-19 7:51pm
v16
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7 months ago
2024-04-16 8:29pm
v15
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7 months ago
2024-04-16 7:30pm
v14
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7 months ago
2024-03-26 5:00pm
v13
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8 months ago
2024-01-09 12:00am
v12
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a year ago
2024-01-08 11:10pm
v11
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a year ago
2024-01-07 10:23pm
v10
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a year ago
2024-01-07 10:14pm
v9
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a year ago
2024-01-07 9:22pm
v8
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a year ago
2023-12-30 10:04am
v7
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a year ago
2023-12-30 9:49am
v6
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a year ago
2023-12-27 2:16pm
v5
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a year ago
2023-12-27 2:07pm
v4
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a year ago
2023-12-25 1:13pm
v3
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a year ago
2023-12-22 12:54pm
v2
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a year ago
2023-12-22 12:05pm
v1
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a year ago
v1

2023-12-22 12:05pm

Generated on Dec 22, 2023
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238 Total Images

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Dataset Split

Train Set 87%
207Images
Valid Set 10%
23Images
Test Set 3%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 50% of images
Brightness: Between -50% and +50%
Exposure: Between -50% and +50%

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