Dataset Versions
v3
2023-09-18 3:20pm
Generated on Sep 18, 2023
4523 Total Images
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Dataset Split
Train Set 83%
3756Images
Valid Set 10%
465Images
Test Set 7%
302Images
Preprocessing
Resize: Stretch to 640x640
Filter Null: Require at least 30% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -34% and +34%
Brightness: Between -31% and +31%
Blur: Up to 2.25px
Noise: Up to 5% of pixels