Dataset Versions
v1
2024-09-03 10:48am
Generated on Sep 3, 2024
656 Total Images
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Dataset Split
Train Set 92%
606Images
Valid Set 4%
25Images
Test Set 4%
25Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 35% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -50% and +50%
Noise: Up to 0.97% of pixels