datasets
natural-language-image-search
| datasets | natural-language-image-search | |
|---|---|---|
| 4 | 9 | |
| 2,299 | 927 | |
| 0.4% | - | |
| 4.7 | 0.0 | |
| 3 months ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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datasets
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Here's a live demo with a simple React frontend. It's searching against an S3 bucket containing Unsplash's open source dataset of 25,000 images, plus a few of my own.
- Where can I get lots of clean open source data?
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Let's create a face dataset with unsplash data
Alright so we are going to use the test dataset that unsplash provides but everything works with the full dataset if you are able to access that one, you can get more information in the github repo.
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Movie Maker
This project uses GithubActions to assemble a random movie clip every hour or so. Each of the frames is an image taken from the Unsplash Dataset.
natural-language-image-search
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I Built an Image Search Engine Using OpenAI Clip and Images from Wikimedia
You have the option of deleting and posting again I think. Anyways good luck.
Wikimedia search seems to work better for most searches I tried, possibly because of the manual tags etc.
https://imagioo.com/?q=astronaut+with+american+flag
https://commons.wikimedia.org/wiki/Special:MediaSearch?type=...
You might want to include examples where your search is better or just a faq on how to use it.
Nice idea though. It does seem to come in handy when you don't have descriptions of images. Eg: https://github.com/haltakov/natural-language-image-search
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Simplest way to obtain a network classifying images as Paintings / Not Paintings?
You can give OpenAI's CLIP a shot: https://github.com/openai/CLIP. It's capable of doing zero-shot classification. Here is a neat example of CLIP usage: https://github.com/haltakov/natural-language-image-search.
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[P] *Semantic* Video Search with OpenAIās CLIP Neural Network
Does this use the same codebase as https://github.com/haltakov/natural-language-image-search ? Or do you have a different approach?
- Show HN: Search photos using natural language
- Show HN: Search photos on Unsplash using natural language queries
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OpenAIās CLIP: Search Images with Descriptions Instead of Keywords
CLIP Image Search
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Search inside YouTube videos using natural language queries
Yes, this is definitely possible. You can maybe try computing some kind of image distance between frames or some keyframe extraction.
Once you compute the features, the search is very efficient! I tried it for searching in the 2M photos dataset from Unsplash and it takes like 2-3 seconds: https://github.com/haltakov/natural-language-image-search
I plan to run my personal photos through it :)
- Use OpenAIās CLIP to search 2M photos on Unsplash
What are some alternatives?
uawardata - The data behind uawardata.com
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
data - Data and code behind the articles and graphics at FiveThirtyEight
natural-language-youtube-search - Search inside YouTube videos using natural language
Tegridy-MIDI-Dataset - Tegridy MIDI Dataset for precise and effective Music AI models creation.
fastbook - The fastai book, published as Jupyter Notebooks
quilt - Quilt is a data mesh for connecting people with actionable data
Queryable - Run OpenAI's CLIP model on iOS to search photos.
food-recognition-benchmark-starter-kit - This repository is the main Food Recognition Benchmark template and Starter kit. Clone the repository to compete now!
steam-image-search - Search for images on Steam using natural language queries.
GSOC2017
rihal-challenges - This repository is used to house Rihal's challenges for hiring.