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AI4MARS provides ~326,000 semantic segmentation labels for 35,000 images from NASA's Curiosity, Opportunity, and Spirit rovers. The dataset was created for training terrain classification models to support autonomous driving on Mars, with labels collected via crowdsourcing and validated by NASA mission scientists. Each crowdsourced image label was produced by 10 annotators to ensure quality.
File format is listed as HTML, which may not be a standard format for image and label data; users should verify the actual data structure and licensing terms as 'notspecified'.