
This is the only multi-label classification dataset in Mars-Bench, based on imagery captured by the Pancam instruments aboard the Opportunity and Spirit rovers. Hence, each image in this dataset can be associated with one or multiple labels. It includes 25 unique classes encompassing a broad range of surface, environmental, and rover-related features. The class list covers geologic and contextual elements such as: RAT Hole, Clasts, Dunes/Ripples, Soil, Rock Outcrops, Close-Up Rock, RAT Brushed Target, Distant Vista, Rover Deck, Bright Soil, Float Rocks, Artifacts, Pancam Calibration Target, Arm Hardware, Round Rock Features, Spherules, Other Hardware, Astronomy, Nearby Surface, Miscellaneous Rocks, Rover Tracks, Sky, Rover Parts, Linear Rock Features, and Soil Trench. To explore all Mars-Bench resources, visit our project website: https://mars-bench.github.io/
Opportunity, Surface, MER, Mars Exploration Rover, Vision Dataset, Mars, Mars Dataset, Multi-Label Classification, Planetary Science, Spirit, PanCam
Opportunity, Surface, MER, Mars Exploration Rover, Vision Dataset, Mars, Mars Dataset, Multi-Label Classification, Planetary Science, Spirit, PanCam
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