Dataset Versions
v5
2024-04-01 11:37pm
Generated on Apr 1, 2024
21 Total Images
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Dataset Split
Train Set 86%
18Images
Valid Set 10%
2Images
Test Set 5%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -37% and +37%
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 2.04% of pixels