Dataset Versions

Versions
2023-08-11 2:15pm
v7
·
a year ago
2023-07-12 2:07pm
v6
·
a year ago
2023-06-12 2:26pm
v5
·
a year ago
2023-06-07 11:39am
v4
·
a year ago
2023-06-06 6:38pm
v3
·
a year ago
2023-06-06 2:49pm
v2
·
a year ago
2023-06-05 10:23am
v1
·
a year ago
v3

2023-06-06 6:38pm

Generated on Jun 7, 2023
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Dataset Split

Train Set 87%
618Images
Valid Set 8%
57Images
Test Set 5%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -25° and +25°
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Mosaic: Applied

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