Dataset Versions
v3
2023-10-16 11:07am
Generated on Oct 16, 2023
3847 Total Images
View All Images
Dataset Split
Train Set 87%
3366Images
Valid Set 8%
321Images
Test Set 4%
160Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Shear: ±31° Horizontal, ±30° Vertical
Blur: Up to 4.5px
Noise: Up to 7% of pixels