Dataset Versions
Versions
v1
2024-02-06 3:22pm
Generated on Feb 6, 2024
2100 Total Images
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Dataset Split
Train Set 87%
1827Images
Valid Set 9%
182Images
Test Set 4%
91Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Bounding Box: Exposure: Between -10% and +10%