Dataset Versions
v2
2023-05-18 4:25pm
Generated on May 18, 2023
1353 Total Images
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Dataset Split
Train Set 87%
1173Images
Valid Set 8%
115Images
Test Set 5%
65Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Grayscale: Applied
Filter Null: Require at least 80% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Saturation: Between -50% and +50%
Brightness: Between -50% and +50%
Noise: Up to 5% of pixels