ultralytics/JSON2YOLO
Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package. observed · 2026-08-28
Health v2 · maintenance only
67/100
- Activity 98
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2671
- days_rel: n/a
- days_push: 13
- n_releases_24m: 0
Adoption not part of the score
1231 stars · 260 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A legacy Python toolkit that converts JSON-format annotation datasets (COCO, LabelMe, Labelbox, VoTT, INFOLKS, ATH) into the YOLO format for object detection training. It has been superseded by the convert_coco() function in the main Ultralytics package and is no longer actively updated.
Use cases
- convert COCO JSON annotations to YOLO format
- convert LabelMe annotations for YOLO training
- convert Labelbox or VoTT datasets to YOLO
- prepare object detection datasets for Ultralytics YOLO
- batch convert annotation files to YOLO labels
When to choose
- you need a standalone script to convert legacy annotation formats like VoTT, INFOLKS, or ATH
- you're maintaining an older pipeline that already uses JSON2YOLO
- you want a minimal converter without installing the full ultralytics package
When to avoid
- starting a new project - use convert_coco() in the ultralytics package instead
- you need actively maintained or updated conversion features
- you need formats beyond the supported JSON annotation sources
Facets
library · maturity maintenance
etl data-generation machine-learning computer-vision machine-learning deep-learning files python windows cross-platform yolo coco annotation-conversion dataset-conversion labelme labelbox vott object-detection legacy json linux macos
4 sources
- readme: https://github.com/ultralytics/JSON2YOLO · fetched 2026-08-28 · 13b12e08d47c
- homepage: https://docs.ultralytics.com · fetched 2026-08-29 · fba5847c3417
- site_page: https://docs.ultralytics.com/integrations · fetched 2026-08-29 · e1ab3aff79a6
- site_page: https://docs.ultralytics.com/quickstart · fetched 2026-08-29 · 2e46a5002390
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ultralytics/JSON2YOLO | main | 67 |
For agents
markdown · JSON · MCP: product_card(name="ultralytics/JSON2YOLO")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem