Dataset Versions
v2
2024-09-09 2:40pm
Generated on Sep 9, 2024
9650 Total Images
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Dataset Split
Train Set 84%
8066Images
Valid Set 10%
1012Images
Test Set 6%
572Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Rotation: Between -45° and +45°
Exposure: Between -15% and +15%
Blur: Up to 4.6px
Noise: Up to 1.89% of pixels