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Spatial Everyday Activities (SEA) is an egocentric dataset designed for training robotic foundation models. It comprises approximately 10,000 hours of egocentric data collected by computer vision experts across a diverse range of locations in the US and EU. SEA-small is a 100GB open-source subset of the full SEA dataset.
info@spatial-ai.com
Setup an isolated environment
conda create -n sea python=3.12
conda… See the full description on the dataset page:
https://huggingface.co/datasets/spatial-ai/sea-small.