Dataset Versions
v1
Lots of Augmentation
Generated on Aug 11, 2023
312 Total Images
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Dataset Split
Train Set 88%
273Images
Valid Set 8%
26Images
Test Set 4%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -34° and +34°
Hue: Between -83° and +83°
Blur: Up to 1.75px
Noise: Up to 9% of pixels
Mosaic: Applied