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Dataset Card for Dataset Name
This dataset consists of 6,000 images depicting the surface of Mars, classified into 8 specific categories. These categories include:
- Crater
- Swiss cheese
- dark dune
- bright dune
- slope streak
- spider
- impact ejecta
- others
Dataset Details
Dataset Description
The Mars Surface Image Dataset comprises 6,000 images capturing various geological features found on Mars. Each image is labeled into one of eight distinct categories representing different aspects of Mars's terrain.
- Curated by: Aum Thaker
- Funded by [optional]: None
- Shared by [optional]:
- Language(s) (NLP): Na
- License: MIT
Dataset Sources [optional]
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: [More Information Needed]
Uses
The Mars Surface Image Dataset offers a rich resource for various image classification tasks due to its unique content and labeled categories. Here are some ways this dataset can be effectively utilized:
Geological Feature Classification
Planetary Exploration and Mapping
Machine Learning and Computer Vision Research
Remote Sensing Applications
Feature Detection and Monitoring
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