Simplest way to obtain a network classifying images as Paintings / Not Paintings?

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  • CLIP

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

  • 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.

    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.

  • 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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  • fastbook

    The fastai book, published as Jupyter Notebooks

  • Alternatively, you can train your own classification model. I would've started with a pre-trained small-ish ResNet and worked from here. Here is a good tutorial of how to do that https://github.com/fastai/fastbook/blob/master/05_pet_breeds.ipynb.

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