Dataset Versions

Versions
2023-09-21 7:15pm
v5
·
a year ago
2023-09-21 7:08pm
v4
·
a year ago
2023-09-21 7:07pm
v3
·
a year ago
2023-07-20 11:42am
v2
·
a year ago
2023-07-18 3:22pm
v1
·
a year ago
v3

2023-09-21 7:07pm

Generated on Sep 21, 2023
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2025 Total Images

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Dataset Split

Train Set 96%
1953Images
Valid Set 4%
72Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied

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