Dataset Versions
Versions
v1
2024-05-16 2:05am
Generated on May 15, 2024
5551 Total Images
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Dataset Split
Train Set 88%
4860Images
Valid Set 8%
464Images
Test Set 4%
227Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 6% Minimum Zoom, 29% Maximum Zoom
Grayscale: Apply to 24% of images
Exposure: Between -13% and +13%
Blur: Up to 3.9px
Noise: Up to 1.6% of pixels
Cutout: 3 boxes with 23% size each