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Data · dataset · 2025

AI4MARS: A Dataset for Terrain-Aware Autonomous Driving on Mars

Listed in NASA Data Portal

This dataset was built for training and validating terrain classification models for Mars, which may be useful in future autonomous rover efforts.

Description

It consists of ~326K semantic segmentation full image labels on 35K images from Curiosity, Opportunity, and Spirit rovers, collected through crowdsourcing. Each image was labeled by 10 people to ensure greater quality and agreement of the crowdsourced labels.

It also includes ~1.5K validation labels annotated by the rover planners and scientists from NASA’s MSL (Mars Science Laboratory) mission, which operates the Curiosity rover, and MER (Mars Exploration Rovers) mission, which operated the Spirit and Opportunity rovers.

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Topics

From keywords
Computer vision
Inferred from text
Image 75%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
NASA Data Portal0ef46168-79b3-4113-9186-3fac1596554310 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:imageenrichment · data nasa govkeyword-concept-rules@1.0.0title+description (75%)
created_datesource · data nasa govconnector:data_nasa_gov@1.0.0
descriptionsource · data nasa govconnector:data_nasa_gov@1.0.0/notes
license_textsource · data nasa govconnector:data_nasa_gov@1.0.0
publication_datesource · data nasa govconnector:data_nasa_gov@1.0.0
titlesource · data nasa govconnector:data_nasa_gov@1.0.0/title
updated_datesource · data nasa govconnector:data_nasa_gov@1.0.0