Observed arrival · 2026-10-14
Bounding Box Architecture asks what image detectors can’t see
An in-browser image-detection playground lets visitors compare six model options, review detected labels, and optionally contribute images to a shared archive.
- For
- People curious about computer-vision blind spots
- Worth noticing
- The selectable detectors span five YOLO variants and COCO-SSD; the page says they were trained on COCO’s 80 everyday classes.
Field notes
The interface offers five YOLO variants and COCO-SSD, with a confidence slider and a step-by-step review flow for keeping, relabeling, or rejecting each detected box. Detection is described as running in the browser through ONNX Runtime (WASM) or TensorFlow.js; images join the public research archive only after the user saves labels and confirms permission to share. The gallery is empty in the supplied capture, and model fine-tuning is framed as a possibility once enough labeled data exists.
Observed signals
Read the marks
Editorial observations of this landing page, not a rating.
One card from the complete issue