by mbzuai-oryx · Agent Tool · ★ 69
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ThinkGeo : Evaluating Tool-Augmented Agents for Remote Sensing Tasks [CVPR 2026 MONTI, BestPaperOral 🔥] Akashah Shabbir\, [Muhammad Akhtar Munir]()\, [Akshay Dudhane]()\, [Muhammad Umer Sheikh](), [Muhammad Haris Khan](), [Paolo Fraccaro](), [Juan Bernabe Moreno](), [Fahad Shahbaz Khan]() and [Salman Khan]() Mohamed bin Zayed University of Artificial Intelligence, IBM Research, Linköping University, Australian National University Equal Contribution 📢 Latest Updates May-29-2025: 📂 ThinkGeo benchmark is released on HuggingFace MBZUAI/ThinkGeo May-29-2025: 📜 Technical Re
| Stars | 69 |
| Forks | 5 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 60.7917183460884/100 |
| Open Issues | 3 |
| Last Updated | 2026-05-29 |
| Created | 2025-05-29 |
| Platforms | python |
| Est. Tokens | ~1672k |
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ThinkGeo is [CVPR 2026 🔥] ThinkGeo is a Comprehensive Benchmark to evaluate Tool-Augmented Agents for Remote Sensing Tasks. It is categorized as a Agent Tool with 69 GitHub stars.
ThinkGeo is primarily written in Python.
You can find installation instructions and usage details in the ThinkGeo GitHub repository at github.com/mbzuai-oryx/ThinkGeo. The project has 69 stars and 5 forks, indicating an active community.
ThinkGeo is released under the Apache-2.0 license, making it free to use and modify according to the license terms.