Dataset Versions
Versions
v2
2024-10-31 12:44pm
Generated on Oct 31, 2024
589 Total Images
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Dataset Split
Train Set 88%
516Images
Valid Set 8%
49Images
Test Set 4%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Do not filter any null images.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 10% Minimum Zoom, 29% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -39% and +39%
Noise: Up to 1.96% of pixels