supermarkioner/Landsat30-AU
π Citation If you use the Landsat30-AU dataset, or codebase in your research, please consider citing our AAAI 2026 paper. Our work introduces a large-scale vision-language dataset bridging the gap in low-resolution, multi-satellite, long-term global monitoring. Built from 30-meter resolution imagery across Landsat 5, 7, 8, and 9 over Australia (spanning 36+ years), it includes: Landsat30-AU-Cap: 196,262 image-caption pairs. Landsat30-AU-VQA: 17,725 human-verified visualβ¦ See the full description on the dataset page: https://huggingface.co/datasets/supermarkioner/Landsat30-AU.
| Author / organization | supermarkioner |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 207 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 31 July 2025 |
| Last updated at source | 12 April 2026 |
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- 17 Oct 2026 Description: π Citation If you use the Landsat30-AU dataset, or codebase in your research, please consider citing our AAAI 2026 paper. Our work introduces a large-scale vision-language dataset bridging the gap in low-resolution, multi-satellite, long-t β π Citation If you use the Landsat30-AU dataset, or codebase in your research, please consider citing our AAAI 2026 paper. Our work introduces a large-scale vision-language dataset bridging the gap in low-resolution, multi-satellite, long-t
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.