Dataset Versions
v2
2023-06-07 2:21pm
Generated on Jun 7, 2023
7172 Total Images
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Dataset Split
Train Set 82%
5856Images
Valid Set 12%
872Images
Test Set 6%
444Images
Preprocessing
Isolate Objects: Applied
Resize: Fill (with center crop) in 100x100
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 1.5px