Blog
I built a custom web app to test my MBCTD model on the 2025 LA wildfires. Here's a look at how it generalized to real-world disaster damage on the fly.
We're releasing MBCTD, a deep learning model that detects demolished, new, and unchanged buildings independently per pixel — including replacement sites that single-label models can't represent. Available now.
Multiple retrievers, one ranked list: how hybrid search works and why it's now the default.
We announce FOTBCD, a national-scale building change detection dataset derived from authoritative French orthophotos and topographic data, designed for robust geographic generalization and commercial use.