Dataset Versions
v3
RECOG-MATV3
Generated on Jan 9, 2024
5894 Total Images
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Dataset Split
Train Set 90%
5331Images
Valid Set 5%
319Images
Test Set 4%
244Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -24° and +24°
Shear: ±10° Horizontal, ±10° Vertical