A selection of mockups highlighting the responsive nature of the website that Max designed to showcase the filter engine he designed using the YOLO machine learning framework.


YOLO (You Only Look Once)


Web Design / Machine Learning




Design with ML


Create a web interface that explores a dataset, using a Machine Learning framework you have learned about in class. The interface can be a portal into a museum collection, a tool that aids in the creative process, or a continuation of your earlier explorations.


This project is an exploration of how machines perceive and interpret images. Using the YOLO (You Only Look Once) object detection framework, I built a website and filtering engine for a subset of the MET’s digital collection of European paintings.

YOLO is a Machine Learning framework that uses Convolutional Neural Networks (CNN) and Deep Learning for real-time object detections in images. It is trained on the COCO dataset, a large-scale object detection, segmentation, and captioning dataset that is sorted into 80 different categories of objects.

To build my interface, I used the MET’s Art Collection API and downloaded a large set of images. I ran this dataset through the YOLO framework to identify the objects and their likelihood of correspondence within the artwork. To demonstrate the filtering engine at work, I built a responsive website to allow users to engage with the artworks in novel ways.

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A framed painting showing a group of horsemen as well as dogs, that have colorful rectangular layers of YOLO's object detection applied on top of them.

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