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Natural-language-image-search Alternatives
Similar projects and alternatives to natural-language-image-search based on common topics and language
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CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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datasets
🎁 5,400,000+ Unsplash images made available for research and machine learning (by unsplash)
natural-language-image-search reviews and mentions
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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 OpenAI’s 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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OpenAI’s 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 OpenAI’s CLIP to search 2M photos on Unsplash
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A note from our sponsor - SaaSHub
www.saashub.com | 10 May 2024
Stats
haltakov/natural-language-image-search is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of natural-language-image-search is Jupyter Notebook.
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