AI4Mars Dataset
URL: https://zenodo.org/records/15995036
This dataset was built for training and validating terrain classification models for Mars, which may be useful in future autonomous rover efforts. It consists of ~425K semantic segmentation full image labels and ~50K images from Perseverance, Curiosity, Opportunity, and Spirit rovers, collected through crowdsourcing. Each image was labeled by ~5-10 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.
There are no views created for this resource yet.
Additional Information
Field | Value |
---|---|
Data last updated | July 22, 2025 |
Metadata last updated | July 22, 2025 |
Created | July 22, 2025 |
Format | HTML |
License | License not specified |
Datastore active | False |
Has views | False |
Id | 5984fb65-c116-464c-966b-61fe544c3b7b |
Mimetype | text/html |
Package id | 0ef46168-79b3-4113-9186-3fac15965543 |
Position | 0 |
State | active |
Tracking summary | {'total': 59, 'recent': 32} |