# SkalskiP/fashion-assistant

<https://repo.masters-masters.com/en/repos/SkalskiP/fashion-assistant>

[Home](https://repo.masters-masters.com/en) › [SkalskiP](https://repo.masters-masters.com/en/owners/SkalskiP) › [fashion-assistant](https://repo.masters-masters.com/en/repos/SkalskiP/fashion-assistant)

SkalskiP/fashion-assistant has 120 stars on GitHub. Its RepoMasters card: Prototype tier. Our idea is to combine the power of computer vision model and LLMs…

| Field | Value |
| --- | --- |
| Owner | [SkalskiP](https://repo.masters-masters.com/en/owners/SkalskiP) |
| Stars | 120 |
| Forks | 10 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2023 |
| Topics | computer-vision, llm, natural-language-processing, openai, openai-api, yolo |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [SkalskiP/fashion-assistant](https://github.com/SkalskiP/fashion-assistant) |

## Repository

Our idea is to combine the power of computer vision model and LLMs. We use YOLO, CLIP and DINOv2 to extract high-level features from images. We pass the prompt, along with the extracted features, to LLM, allowing for advanced image dataset queries.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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