Dataset Versions

Versions
2024-08-15 7:48pm
v6
·
4 months ago
2024-08-15 7:27pm
v5
·
4 months ago
2024-08-11 1:26am
v4
·
4 months ago
2024-08-11 1:20am
v3
·
4 months ago
2024-08-10 4:00am
v2
·
4 months ago
2024-08-10 3:57am
v1
·
4 months ago
v6

2024-08-15 7:48pm

Generated on Aug 15, 2024
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3230 Total Images

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Dataset Split

Train Set 89%
2865Images
Valid Set 8%
267Images
Test Set 3%
98Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 320x320

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Grayscale: Apply to 14% of images
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -12% and +12%
Blur: Up to 1.8px

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