LLM Vision for Scientists A growing collection of tools and tutorials showing how large language models and vision-language models can be applied to real scientific image analysis workflows. Built alongside the Applied LLMs for Scientists video series on DigitalSreeni. Video Playlist Applied LLMs for Scientists — YouTube Playlist Series Overview Repository Contents Extends notebook 1 by feeding detected boxes into SAM 2 to produce per-object segmentation mask
| Stars | 22 |
| Forks | 12 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 57.3551391751659/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-11 |
| Created | 2026-05-07 |
| Platforms | python |
| Est. Tokens | ~305k |
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LLM-Assisted-Scientific-Image-Annotation-Tool is an open-source ai tool by bnsreenu with 22 GitHub stars.
LLM-Assisted-Scientific-Image-Annotation-Tool is primarily written in Python.
You can find installation instructions and usage details in the LLM-Assisted-Scientific-Image-Annotation-Tool GitHub repository at github.com/bnsreenu/LLM-Assisted-Scientific-Image-Annotation-Tool. The project has 22 stars and 12 forks, indicating an active community.
LLM-Assisted-Scientific-Image-Annotation-Tool is released under the MIT license, making it free to use and modify according to the license terms.