Dataset Card for S5Mards Dataset This is a FiftyOne dataset with 6000 samples. Installation If you haven't already, install FiftyOne: Usage Dataset Description S5Mars (Semi SuperviSed learning on Mars Semantic Segmentation) is a high resolution Mars terrain semantic segmentation dataset containing 6,000 images captured by the Mars Science Laboratory (MSL) Curiosity rover. The dataset features sparse, high confidence annotations designed to support semi supervised learning approaches for Martian terrain analysis. The dataset addresses the challenge of limited high quality annotations for Mars imagery by providing carefully curated, confidence based sparse annotations. This enables research into semi supervised learning methods that can leverage both labeled and unlabeled Mars terrain data for autonomous rover navigation and planning. Each image is annotated with pixel level semantic segmentation masks covering 9 terrain classes commonly encountered in Martian landscapes. Curated by: Jiahang Zhang, Lilang Lin, Zejia Fan, Wenjing Wang, Jiaying Liu (Peking University) License: Research use Language(s): N/A (Image dataset) Dataset Sources Repository: https://github.com/JHang2020/S5Mars…
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