fashion-assistant

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.

natural-language-processing

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116 Stars

7 Forks

116 Watchers

Jupyter Notebook Language

mit License

Cost to Build

$36.3K

Market Value

$87.6K

How is this calculated?

Growth over time

1 data points · 2025-08-12 → 2025-08-12

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What is the SkalskiP/fashion-assistant GitHub project? Description: "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.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/SkalskiP/fashion-assistant.git

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Download master.zip

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