Beyond Default Boxes: Custom Annotation Styles for Computer Vision Datasets in FiftyOne
This story is from 2026-10-28. It is preserved in the archive; the latest stories are on the live feed.
You've trained your model, run inference, and loaded your predictions into FiftyOne . And then you're staring at the same blue rectangles you've always stared at. The default bounding box is a blunt instrument. It works, but it doesn't tell you much about confidence, class density, mask shape, or a…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-28 22:29 · DEV Community — Machine Learning
Beyond Default Boxes: Custom Annotation Styles for Computer Vision Datasets in FiftyOne