LuMonDepthmit
Chang'e-3: An Authentic In-Situ Dataset of the LuMon Benchmark
An authentic, in-situ collection of 168 lunar surface images with metric depth maps and validity masks, designed to evaluate monocular depth estimation networks for extraterrestrial navigation and address the visual domain gap between terrestrial and lunar environments.
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Technical Profile
- Modalities
- rgbdepth
- Environment
- outdoorlunar
- Task Types
- depth-estimation
- Data Format
- npy
- License
- mit
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