Dataset Versions

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Versions
2023-12-13 9:06am
v10
·
a year ago
2023-11-13 1:31pm
v9
·
a year ago
2023-11-02 10:56am
v8
·
a year ago
2023-11-01 3:39pm
v7
·
a year ago
2023-11-01 12:59pm
v6
·
a year ago
2023-10-26 3:21pm
v4
·
a year ago
2023-10-18 12:08pm
v3
·
a year ago
2023-10-18 12:07pm
v2
·
a year ago
v7

2023-11-01 3:39pm

Generated on Nov 1, 2023
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Dataset Split

Train Set 90%
498Images
Valid Set 7%
37Images
Test Set 3%
17Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 34% of images
Hue: Between -18° and +18°
Blur: Up to 5.25px
Noise: Up to 18% of pixels

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