Dataset Versions
v4
2023-09-06 1:28pm
Generated on Sep 6, 2023
150 Total Images
View All ImagesDataset Split
Train Set 90%
135Images
Valid Set %
0Images
Test Set 10%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 0 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Grayscale: Apply to 25% of images
Blur: Up to 2.5px