What is tlabel (TouchLabel AI)?
tlabel (TouchLabel AI) is a Python package that helps robotics researchers load and label tactile sensor data with zero setup. Tactile data from touch sensors is harder to work with than images, and tlabel gives researchers a straightforward way to import, review, and annotate it before feeding it into downstream models or analysis. It supports data from several sensor sources, including GelSight Mini, DIGIT, and PaXini, so labs using different hardware can rely on one tool rather than building custom loaders for each device. Because it is distributed through PyPI, tlabel installs like any other Python dependency and fits into existing research pipelines. Its scope is deliberately focused on the loading-and-labeling stage rather than full model training, and it assumes users are comfortable working in Python with tactile data, making it a fit for robotics research teams rather than general users.
What is tlabel (TouchLabel AI) used for?
Robotics researchers who need to load and annotate tactile sensor data from hardware like GelSight Mini, DIGIT and PaXini without setup overhead.
How much does tlabel (TouchLabel AI) cost?
Pros and cons
Pros
• Loads and labels tactile sensor data with zero setup required • Supports multiple sensors including GelSight Mini, DIGIT and PaXini • Distributed as a Python package via PyPI, so it slots into existing research pipelines • Focused specifically on the annotation needs of robotics research
Cons
• Aimed at robotics researchers, so it assumes familiarity with Python and tactile data • Scope is limited to loading and labeling — it isn't a full model-training suite • Usefulness depends on your sensor being among the supported hardware
Questions about tlabel (TouchLabel AI)
What is tlabel used for?
tlabel loads and labels tactile sensor data for robotics research, giving researchers a simple way to review and annotate touch data before using it downstream.
Which tactile sensors does tlabel support?
It works with data from multiple sources, including GelSight Mini, DIGIT, and PaXini, among others.
How do I install tlabel?
tlabel is published on PyPI, so you can install it as a Python package and start loading tactile data with zero additional setup.
Who is tlabel for?
It is built for robotics researchers who need to review and annotate tactile sensor data quickly without building tooling from scratch.
What are the best alternatives to tlabel (TouchLabel AI)?
Reviews
Sign in to rate and review tlabel (TouchLabel AI).
Sign in to reviewNo reviews yet. Be the first to review tlabel (TouchLabel AI)!
