Dataset Versions
v1
Augmentation
Generated on Feb 6, 2024
3319 Total Images
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Dataset Split
Train Set 87%
2904Images
Valid Set 8%
278Images
Test Set 4%
137Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -15° and +15°
Brightness: Between -25% and +25%
Exposure: Between -6% and +6%
Blur: Up to 2.5px
Noise: Up to 0.22% of pixels