Dataset Versions
v2
2024-03-19 3:27pm
Generated on Mar 19, 2024
7327 Total Images
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Dataset Split
Train Set 87%
6411Images
Valid Set 8%
614Images
Test Set 4%
302Images
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%