Computer Vision & Image Embeddings Workshop

Using a provided collection of images, this workshop introduces computer vision and image embeddings, showing how pre-trained convolutional neural networks can be applied to art and image analysis and exploration.

No previous programming experience is required, though those who know some Python will be able to follow the more advanced code. For those with no experience in Python, you will be able to actively follow along the workshop to better understand how computers can be used to analyze images.

In this workshop you will:

1. Familiarize yourself with concepts such as computer vision, convolution, convolutional neural network (CNN) and image embeddings.

2. Understand how computers “see” and distinguish between different images by identifying unique visual elements and quantifying their similarity.

3. Explore a collection of images and create image embeddings for these photographs using pre-trained models.

4. Learn how to cluster and classify the content of the images, and critically analyze the advantages and limitations of these techniques and their potential applications for critical image analysis.