Dataset Versions
Versions
v1
2023-07-21 7:22pm
Generated on Jul 21, 2023
881 Total Images
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Dataset Split
Train Set 90%
789Images
Valid Set 8%
70Images
Test Set 2%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 17 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -8° and +8°
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 1% of pixels