Dataset Versions

v7

2024-12-19 11:28am

Generated on Dec 19, 2024

Dataset Split

Train Set 80%
542Images
Valid Set 15%
100Images
Test Set 6%
39Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require at least 29% of images to contain annotations.

Augmentations

Outputs per training example: 2
Blur: Up to 0.8px
Noise: Up to 0.1% of pixels