Dataset Versions

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Versions
2023-12-18 10:30pm
v7
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a year ago
2023-12-17 8:13am
v6
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a year ago
2023-12-16 10:10am
v5
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a year ago
2023-12-11 2:22pm
v4
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a year ago
2023-12-09 1:37pm
v3
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a year ago
2023-12-07 9:01am
v2
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a year ago
2023-12-06 9:03pm
v1
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a year ago
v7

2023-12-18 10:30pm

Generated on Dec 18, 2023
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8999 Total Images

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Dataset Split

Train Set 88%
7875Images
Valid Set 8%
750Images
Test Set 4%
374Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Saturation: Between -80% and +80%
Brightness: Between -60% and +60%
Exposure: Between -35% and +35%
Blur: Up to 15px
Noise: Up to 7% of pixels
Cutout: 18 boxes with 15% size each

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