Dataset Versions
v2
2024-06-12 11:12am
Generated on Jun 12, 2024
2144 Total Images
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Dataset Split
Train Set 95%
2040Images
Valid Set 4%
79Images
Test Set 1%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 19% of images
Brightness: Between -22% and +22%
Exposure: Between -12% and +12%
Noise: Up to 0.18% of pixels