Dataset Versions

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Versions
2023-11-14 1:15pm
v9
·
a year ago
2023-11-14 1:11pm
v8
·
a year ago
2023-11-14 1:04pm
v7
·
a year ago
2023-11-13 5:32pm
v6
·
a year ago
2023-11-09 5:44pm
v5
·
a year ago
2023-11-02 4:21am
v4
·
a year ago
2023-10-27 11:41pm
v2
·
a year ago
2023-10-27 6:15pm
v1
·
a year ago
v4

2023-11-02 4:21am

Generated on Nov 1, 2023
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416 Total Images

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Dataset Split

Train Set 88%
366Images
Valid Set 8%
33Images
Test Set 4%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -20% and +20%
Noise: Up to 2% of pixels

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