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2024-09-18 1:42pm
v8
·
2 months ago
2023-12-20 3:10pm
v7
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a year ago
2023-08-01 12:35pm
v6
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a year ago
2023-07-24 4:17pm
v5
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a year ago
2023-07-24 3:10pm
v4
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a year ago
2023-06-22 2:42pm
v3
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a year ago
2023-06-22 11:53am
v2
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a year ago
2023-06-20 3:52pm
v1
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a year ago
v2

2023-06-22 11:53am

Generated on Jun 22, 2023
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Dataset Split

Train Set 60%
30Images
Valid Set 20%
10Images
Test Set 20%
10Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -13° and +13°
Brightness: Between -36% and +36%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 6% of pixels
Cutout: 11 boxes with 8% size each

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