We're launching RampNet, an open-source AI that helps detect curb ramps with near-human accuracy. The most amazing part? The entire project was conceived of and led by high school student John O'Meara. 🧵 A thread on what we built and why it matters.

In collaboration with Professor Anupam Sobti and students, we are excited to announce a new pilot deployment in India! 🎉This work furthers our research in mapping and assessing sidewalk accessibility across socio-cultural and geographic contexts: makeabilitylab.cs.washington.edu/media/public...

One map fits all? 🤔 Unfortunately, no! Our #CHI2025 study reveals significant differences in how cane, walker, scooter & wheelchair users perceive sidewalk barriers. Dataset & paper: makeabilitylab.cs.washington.edu/project/acce... This is work led by the amazing @chimichurrichu.bsky.social

📢 HUGE NEWS! Project Sidewalk just crossed 1.1 MILLION manual sidewalk accessibility annotations across 21,000+ km of streets! 🎉 (1,163,413 labels to be exact!). To celebrate and help others build on our work, we have posted a sidewalk feature/barrier dataset to @hf.co huggingface.co/projectsidew...

Hello! 👋 We are an open-source research project run by the @makeabilitylab.bsky.social. We have a two-pronged vision: first, to develop scalable data collection methods for sidewalk accessibility data using crowdsourcing, computer vision, and online map imagery; and second,

⚠️ We're recruiting participants for a research study! We'd like to understand how people use disability parking. Fill out this screener if you fit the criteria, and we may reach out to interview you. 🔗 tinyurl.com/uw-parking-screener 💸 $25/hr compensation