Joseph Redmon
Personal academic homepage of the YOLO creator — publications, talks, and the Darknet framework
| What is it | Personal academic homepage of the YOLO creator — publications, talks, and the Darknet framework |
|---|---|
| Pricing | Unknown |
| Platform | Web Application |
| Best for | real-time object detection in video streams, training custom neural networks for image recognition |
| Domain registered | 2012 |
Data updated Aug. 1, 2026
What does Joseph Redmon do?
This is the personal website of Joseph Redmon, a research scientist at Ai2 and the creator of the YOLO object detection system. The site is a collection of his work, including research papers, conference talks, and teaching materials. It's not a software tool you can download and run, but rather a portfolio of academic output and links to projects like the Darknet neural network framework and the OlmoEarth environment-monitoring platform. Visitors can find PDF links to papers such as YOLOv3 and YOLO9000, slide decks from talks, and a primer on Coq tactics. The page also includes a recorded talk titled "The Real AI Alignment Problem" from ICLR 2026.
The site is straightforward: a minimal design with sections for home, Darknet, Coq tactics, publications, projects, and a résumé. There is no interactive tool, no dashboard, and no pricing. It's a static page that directs you to external resources like arXiv papers, Google Scholar, and YouTube. What stands out is the personal touch — mention of his dog Kelp, a humorous "What people are saying" section, and links to his bluesky and GitHub profiles. It feels more like a digital business card than a product.
Who benefits from this page? Researchers and students in computer vision who want to cite or learn from Redmon's work, especially YOLO. Practitioners looking for the Darknet source code or implementation details will find links to the framework page. However, if you're looking for a polished AI tool you can use right away, this isn't that — it's a scientist's homepage.
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