I built an Image Search Engine using OpenAI CLIP and Images from Wikimedia

• CLIP

  104 22,316 1.2 Jupyter Notebook

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  

I used for this project Flask and OpenAI CLIP. For the vector search I used approximate nearest neighbors provided by spotify/annoy. I used Flask-SQLAlchemy with GeoAlchemy2 to query GPS coordinates. The embedding was done using UMAP.

• annoy

  40 12,712 5.3 C++

  Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

  

I used for this project Flask and OpenAI CLIP. For the vector search I used approximate nearest neighbors provided by spotify/annoy. I used Flask-SQLAlchemy with GeoAlchemy2 to query GPS coordinates. The embedding was done using UMAP.

• InfluxDB

  www.influxdata.com featured

  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.

  

• umap

  10 6,959 8.3 Python

  Uniform Manifold Approximation and Projection

I used for this project Flask and OpenAI CLIP. For the vector search I used approximate nearest neighbors provided by spotify/annoy. I used Flask-SQLAlchemy with GeoAlchemy2 to query GPS coordinates. The embedding was done using UMAP.

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