Dataset Versions
v6
2024-04-27 7:21pm
Generated on Apr 27, 2024
3640 Total Images
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Dataset Split
Train Set 90%
3261Images
Valid Set 4%
161Images
Test Set 6%
218Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Brightness: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 0.54% of pixels