Zooniverse × Experiment

Mon, 01 Sep 2025 00:00:00 +0000

A collaboration with the Zooniverse community on AI-assisted annotation tools for citizen science.

is a platform for sharing AI-powered annotation tools with the community, built by , , and myself, with initial funding from the University of Toronto’s Data Science Institute.

The idea is to let AI models assist volunteers in their annotations — for example, a brush tool where models suggest regions to mark on galaxy images, and volunteers can accept or correct those suggestions. The platform currently hosts projects involving galaxies from the Euclid space telescope.

My contribution focused on developing an interactive brush-based tool for generating segmentation masks.

See also the and the .

Galaxy Morphological Classification with Deep Learning

Fri, 15 Nov 2024 00:00:00 +0000

Galaxy morphological classification — spiral, elliptical, irregular? — is one of the most natural applications of computer vision in astronomy. Datasets like and provide crowd-sourced morphological labels for thousands of galaxies and serve as standard benchmarks.

In my work with Sébastien Lefèvre, we compared several pre-trained foundation models (ViT, SwinV2, BEiT, DINOv2) on Galaxy10 DECaLS to see how well they transfer to astronomical images. The short answer: surprisingly well, but the fine-tuning strategy matters a lot. These results were presented at and , with a detailed analysis in the .

Galaxy Zoo |

Zooniverse × Experiment

Galaxy Morphological Classification with Deep Learning