OSU-AIoT-MLSys-Lab/

Reading-in-the-Wild-Columbus

”Reading in the Wild” dataset is the first-of-its-kind large-scale multimodal dataset collected using Meta's smart glasses under Project Aria. The dataset contains two subsets -- Seattle subset and Columbus subset. This data repository hosts the Columbus subset. The Columbus subset contains around 20 hours of data from 31 subjects containing reading and non-reading activities in indoor scenarios. It is collected with the objective for zero-shot… See the full description on the dataset page: https://huggingface.co/datasets/OSU-AIoT-MLSys-Lab/Reading-in-the-Wild-Columbus.