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A sensor-agnostic tactile data annotation toolkit for robotics researchers. Load, review, and label data from GelSight Mini, DIGIT, PaXini, and more — with zero config.
Hey PH community! 👋
We're a small team of robotics researchers who've spent far too many nights wrestling with proprietary sensor formats. You know how it goes: you finally get your GelSight Mini working, then someone loans you a DIGIT, and suddenly you're writing another parser from scratch.
tlabel started as an internal tool to solve our own pain. We realized we were rebuilding the same annotation workflow for every new sensor, every new experiment. So we spent the last year turning our mess into something we could share.
This is our first major open-source release. It's MIT licensed, it's free forever, and we genuinely want this to become a community project. If you work with tactile sensors, we'd love your feedback — whether that's a feature request, a bug report, or just telling us which sensor we forgot to support.
GitHub: https://github.com/liesliy/tlabel
PyPI: pip install tlabel
We're also working on a paper about cross-sensor generalization using tlabel's unified format. If that sounds relevant to your research, let's talk.
Thanks for checking us out. ❤️
— Liesliy / NiuXiu Tech
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About tlabel (TouchLabel AI) on Product Hunt
“Annotate any tactile sensor in 3 lines of Python.”
tlabel (TouchLabel AI) was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #88 on the daily leaderboard. A sensor-agnostic tactile data annotation toolkit for robotics researchers. Load, review, and label data from GelSight Mini, DIGIT, PaXini, and more — with zero config.
tlabel (TouchLabel AI) was featured in Robots (10.7k followers), Developer Tools (515.5k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 209.7k products, making this a competitive space to launch in.
Who hunted tlabel (TouchLabel AI)?
tlabel (TouchLabel AI) was hunted by liesliy. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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