YOLO
YOLO at Beyond Market Intelligence is a file of 3 stories. The newest of them: “Finding Stenoses in Angiograms: Why Recall Outweighs Perfection”, “Refining product ID: When similar packages confuse embeddings, what should Stage 2 do?”, and “Your Chessboard Analysis, Completely Private and Entirely in Your Browser”. Detecting candidate stenoses in coronary angiograms means prioritizing recall over perfection. A shelf audit tool lives or dies on telling a 1.25L bottle from a 2L one, and that's exactly where this project hits a wall. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every YOLO story on Beyond Market Intelligence, newest first.
Finding Stenoses in Angiograms: Why Recall Outweighs Perfection
Detecting candidate stenoses in coronary angiograms means prioritizing recall over perfection. False positives are acceptable; flagging half the image is not. You've already seen YOLO succeed on one dataset and fail on another, largely because of inconsistent annotation formats. Vessel segmentation and centerlines offer a smarter path: build a radius profile to flag narrowings, then filter candidates. The real challenge is evaluation. Doctors don't mark every narrowing, so your recall metrics will be too optimistic.
Refining product ID: When similar packages confuse embeddings, what should Stage 2 do?
A shelf audit tool lives or dies on telling a 1.25L bottle from a 2L one, and that's exactly where this project hits a wall. Cropping works, but the embedding stage fails because letterboxing scrubs away the tiny size text, leaving the model to guess on shape alone. Fine-tuning on hard negatives feels like the right move, though OCR as a second check could break the tie more directly.
Your Chessboard Analysis, Completely Private and Entirely in Your Browser
ChessInsights AI takes a refreshingly different route: it runs the entire vision pipeline locally, from board detection to piece classification to Stockfish evaluation, with no image ever leaving the browser. That's a meaningful step toward private, real-time analysis. The multi-board support is particularly smart, handling PDFs or broadcast splits where multiple diagrams appear at once. It's practical, privacy-focused, and free. For deeper context on edge-case strategies, our piece on real-world computer vision deployments is worth exploring. This is a solid contribution to in-browser tooling.