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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Search photos on Unsplash using natural language
| Date | Stars |
|---|---|
| 2026-07-24 | 1042 |
| 2026-07-25 | 1042 |
| 2026-07-28 | 1042 |
| 2026-07-30 | 1042 |
| 2026-08-06 | 1042 |
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# Unsplash Image Search [](https://colab.research.google.com/github/haltakov/natural-language-image-search/blob/main/colab/unsplash-image-search.ipynb) Search photos on Unsplash using natural language descriptions. The search is powered by OpenAI's [CLIP model](https://github.com/openai/CLIP) and the [Unsplash Dataset](https://unsplash.com/data). ### "Two dogs playing in the snow"  <sub>Photos by [Richard Burlton](https://unsplash.com/@richardworks?utm_source=NaturalLanguageImageSearch&utm_medium=referral), [Karl Anderson](https://unsplash.com/@karlkiwi90?utm_source=NaturalLanguageImageSearch&utm_medium=referral) and [Xuecheng Chen](https://unsplash.com/@samaritan_?utm_source=NaturalLanguageImageSearch&utm_medium=referral) on [Unsplash](https://unsplash.com/?utm_source=NaturalLanguageImageSearch&utm_medium=referral).</sub> ### "The word love written on the wall"  <sub>Photos by [Genton Damian](https://unsplash.com/@damiangenton96?utm_source=NaturalLanguageImageSearch&utm_medium=referral) , [Anna Rozwadowska](https://unsplash.com/@arozwadowska?utm_source=NaturalLanguageImageSearch&utm_medium=referral), [Jude Beck](https://unsplash.com/@judebeck?utm_source=NaturalLanguageImageSearch&utm_medium=referral) on [Unsplash](https://unsplash.com/?utm_source=NaturalLanguageImageSearch&utm_medium=referral).</sub> ### "The feeling when your program finally works"  <sub>Photos by [bruce mars](https://unsplash.com/@brucemars?utm_source=NaturalLanguageImageSearch&utm_medium=referral), [LOGAN WEAVER](https://unsplash.com/@lgnwvr?utm_source=NaturalLanguageImageSearch&utm_medium=referral), [Vasyl Skunziak](https://unsplash.com/@vskvsk1?utm_source=NaturalLanguageImageSearch&utm_medium=referral) on [Unsplash](https://unsplash.com/?utm_source=NaturalLanguageImageSearch&utm_medium=referral).</sub> ### "The Syndey Opera House and the Harbour Bridge at night"  <sub>Photos by [Dalal Nizam](https://unsplash.com/@dilson?utm_source=NaturalLanguageImageSearch&utm_medium=referral) and [Anna Tremewan](https://unsplash.com/@annatre?utm_source=NaturalLanguageImageSearch&utm_medium=referral) on [Unsplash](https://unsplash.com/?utm_source=NaturalLanguageImageSearch&utm_medium=referral).</sub> ## How It Works? OpenAI's [CLIP](https://openai.com/blog/clip/) neural network is able to transform both images and text into the same latent space, where they can be compared using a similarity measure. For this project, all photos from the full [Unsplash Dataset](https://unsplash.com/data) (almost 2M photos) were downloaded and processed with CLIP. The pre-computed feature vectors for all images can then be used to find the best match to a natural language search query. ## How To Run The Code? ### On Google Colab If you just want to play around with different queries jump to the [Colab notebook](https://colab.research.google.com/github/haltakov/natural-language-image-search/blob/main/colab/unsplash-image-search.ipynb). [](https://colab.research.google.com/github/haltakov/natural-language-image-search/blob/main/colab/unsplash-image-search.ipynb) ### On your machine Before running any of the code, make sure to install all dependencies: ``` pip install -r requirements.txt ``` If you want to run all the code yourself open the Jupyter notebooks in the order they are numbered and follow the instructions there: - `01-setup-clip.ipynb` - setup the environment checking out and preparing the CLIP code. - `02-download-unsplash-dataset.ipynb` - download the photos
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:56f19d1e5a54ba09, topic:computer-vision
matched fp:56f19d1e5a54ba09, topic:clip