Dataset Versions

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Versions
2023-09-11 9:41pm
v7
·
a year ago
2023-09-11 9:26pm
v6
·
a year ago
2023-05-22 11:56pm
v5
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2 years ago
2023-05-22 9:40pm
v4
·
2 years ago
2023-05-22 9:13pm
v3
·
2 years ago
2023-05-22 8:54pm
v2
·
2 years ago
2023-05-22 8:28pm
v1
·
2 years ago
v4

2023-05-22 9:40pm

Generated on May 22, 2023
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Dataset Split

Train Set 38%
18Images
Valid Set 30%
14Images
Test Set 32%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -12% and +12%
Exposure: Between -25% and +25%

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