1st October 2023 - Link Blog
Observable notebook: Detect objects in images (via) I built an Observable notebook that uses Transformers.js and the Xenova/detra-resnet-50 model to detect objects in images, entirely running within your browser. You can select an image using a file picker and it will show you that image with bounding boxes and labels drawn around items within it. I have a demo image showing some pelicans flying ahead, but it works with any image you give it - all without uploading that image to a server.

Recent articles
- Changes in the system prompt between Claude Opus 4.6 and 4.7 - 18th April 2026
- Join us at PyCon US 2026 in Long Beach - we have new AI and security tracks this year - 17th April 2026
- Qwen3.6-35B-A3B on my laptop drew me a better pelican than Claude Opus 4.7 - 16th April 2026