Dataset Versions

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Versions
2023-10-05 11:36am
v7
·
a year ago
2023-09-29 3:33pm
v6
·
a year ago
2023-09-29 3:12pm
v5
·
a year ago
2023-09-04 1:45pm
v4
·
a year ago
2023-09-04 12:44pm
v3
·
a year ago
2023-08-29 3:10pm
v2
·
a year ago
2023-08-29 2:51pm
v1
·
a year ago
v6

2023-09-29 3:33pm

Generated on Sep 29, 2023
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210 Total Images

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Dataset Split

Train Set 94%
198Images
Valid Set 3%
6Images
Test Set 3%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 50% of images
Blur: Up to 1.75px
Noise: Up to 25% of pixels

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