Dataset Versions
Versions
v1
2023-08-22 3:56pm
Generated on Aug 22, 2023
22604 Total Images
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Dataset Split
Train Set 87%
19724Images
Valid Set 9%
1933Images
Test Set 4%
947Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 7 dropped
Filter Null: Require at least 10% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -38° and +38°
Exposure: Between -25% and +25%