Spaces:
Running
Running
| title: README | |
| emoji: π | |
| colorFrom: gray | |
| colorTo: pink | |
| sdk: static | |
| pinned: false | |
| license: apache-2.0 | |
| # π NestEO Datasets | |
| **NestEO** is an open initiative focused on curating large-scale, AI-ready Earth Observation (EO) datasets with a modular and hierarchical design. We aim to support a wide range of geospatial machine learning tasks including land cover mapping, vegetation monitoring, multimodal fusion, and more. | |
| ### π¦ What We Publish | |
| - Gridded satellite imagery and derived metadata in Parquet format | |
| - Hierarchical geospatial tile frameworks for scalable analysis | |
| - Multisource, multimodal datasets spanning various EO sources | |
| - Evaluation resources for dataset diversity, coverage, and representativeness | |
| ### π Focus Areas | |
| - AI4EO (AI for Earth Observation) | |
| - Geospatial ML infrastructure | |
| - Large-scale EO data preprocessing | |
| - Dataset benchmarking and diversity analysis | |
| --- | |
| ### π Explore Our Datasets | |
| - [NestEO Prototype](https://huggingface.co/datasets/nesteo-datasets/nesteo-prototype) β Initial version demonstrating EO grid tiling and metadata integration | |
| --- | |
| ### π₯ Maintainers | |
| This project is managed by independent researchers and collaborators. | |
| Want to contribute or collaborate? Open an issue or reach out via GitHub or Hugging Face. |