Dataset Versions
v2
2024-08-15 3:20pm
Generated on Aug 15, 2024
9780 Total Images
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Dataset Split
Train Set 87%
8556Images
Valid Set 8%
817Images
Test Set 4%
407Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 9 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -11% and +11%
Exposure: Between -10% and +10%