Dataset Versions

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Versions
2023-11-24 5:48pm
v6
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a year ago
2023-11-24 5:36pm
v5
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a year ago
2023-11-24 5:17pm
v4
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a year ago
2023-10-05 5:37pm
v3
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a year ago
2023-10-05 5:29pm
v2
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a year ago
2023-09-28 3:25pm
v1
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a year ago
v3

2023-10-05 5:37pm

Generated on Oct 5, 2023
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216 Total Images

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Dataset Split

Train Set 88%
189Images
Valid Set 8%
18Images
Test Set 4%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -11° and +11°
Saturation: Between -27% and +27%
Noise: Up to 7% of pixels

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