FactArticle
Qwen 3.8 27B is highly accurate at generating bounding box coordinates for objects in photographs, producing near-perfect results on its first attempt.
The model produces accurate 0-1000 scale bounding boxes for objects in photos. A test with pelicans showed near-perfect alignment when rendered on the original image. ✦ AI generated
Simon Willison · Simon Willison's Weblog · 2026-08-16 · original ↗
I've been asking for 0-1000 scale to produce good results in the past. I tried this: Return JSON bounding boxes for the pelicans in this photo, 0-1000 scale for each dimension. This is such a good match. Here are those boxes rendered on top of the photo.
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gives example → A 17GB open-weight model running on a consumer laptop is now competitive with the best proprietary models from a year ago, demonstrating rapid progress in local LLM capability.Simon Willison · Simon Willison's Weblogsupports → Qwen 3.8 27B has sufficient capability in long context, code generation, and tool-calling to successfully drive a coding agent loop on consumer hardware.Simon Willison · Simon Willison's Weblogprovides context → Qwen3.8-Max demonstrates autonomous long-horizon and multimodal capabilities including 10+ days of unattended coding, a 125-hour autonomous research loop that beat an original paper's benchmark by +2.71 points, silicon design from RTL to physical layout, and product-grade outputs across professional workflows.AINews · Latent Space