Datasets:
Improve dataset card: Update license, add task category, tags, paper link, and sample usage
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by
nielsr HF Staff - opened
README.md
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license: cc-by-4.0
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---
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# Overview
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This repository hosts curated data products used for evaluation and training in the article
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*"Optimizing Methane Detection Onboard Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware."*
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The dataset consists exclusively of products generated from 72 hyperspectral channels within the wavelength range of 2122–2488 nm. These products served as the training data for the models available [here](https://huggingface.co/onboard-coop/fast-methane-filters-models).
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The original raw hyperspectral data required to create these products is publicly accessible at:
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https://huggingface.co/collections/previtus/starcop-67f13cf30def71591f281a41
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# Citation
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If you use this dataset in your research, please cite our article:
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```bibtex
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license: cc-by-nc-4.0
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task_categories:
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- image-segmentation
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tags:
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- methane-detection
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- hyperspectral-imagery
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- satellite-imagery
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- climate-change
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- remote-sensing
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---
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# Paper | Code
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[Optimizing Methane Detection On Board Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware](https://huggingface.co/papers/2507.01472) | [GitHub Repository](https://github.com/zaitra/methane-filters-benchmark)
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# Overview
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This repository hosts curated data products used for evaluation and training in the article
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*"Optimizing Methane Detection Onboard Satellites: Speed, Accuracy, and Low-Power Solutions for Resource-Constrained Hardware."*
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The dataset consists exclusively of products generated from 72 hyperspectral channels within the wavelength range of 2122–2488 nm. These products served as the training data for the models available [here](https://huggingface.co/onboard-coop/fast-methane-filters-models).
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The original raw hyperspectral data required to create these products is publicly accessible at:
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https://huggingface.co/collections/previtus/starcop-67f13cf30def71591f281a41
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## Sample Usage (Notebook Demos)
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You can try out our demos directly in Google Colab:
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- <a href="https://colab.research.google.com/github/zaitra/methane-filters-benchmark/blob/main/ntbs/Models_demo.ipynb"> Models Demo <img src="https://colab.research.google.com/assets/colab-badge.svg" height=16px></a>
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Demonstrates model inference.
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- <a href="https://colab.research.google.com/github/zaitra/methane-filters-benchmark/blob/main/ntbs/Products_demo.ipynb"> Products Creation and Benchmarking Demo <img src="https://colab.research.google.com/assets/colab-badge.svg" height=16px></a>
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Demonstrates generating products and measuring their runtime.
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# Citation
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If you use this dataset in your research, please cite our article:
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```bibtex
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