Dataset Versions
v2
2023-09-08 7:11am
Generated on Sep 8, 2023
1670 Total Images
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Dataset Split
Train Set 87%
1455Images
Valid Set 9%
146Images
Test Set 4%
69Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -31° and +31°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 10% of pixels