# YOLO V8 Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/yolo-v8
> Markdown URL: https://aitinkerers.org/technologies/yolo-v8.md
> Technology record last updated: 2026-04-22T20:53:03Z
> Generated: 2026-09-20T15:43:48Z

Ultralytics YOLOv8 is a high-speed, SOTA framework for real-time object detection, segmentation, and pose estimation.

YOLOv8 delivers a unified framework for computer vision tasks (detection, instance segmentation, and image classification) with significant performance gains over its predecessors. Built by Ultralytics, it features a new backbone architecture and an anchor-free head that pushes the mAP on COCO benchmarks while maintaining low latency. Developers can deploy models across diverse environments (from edge devices to cloud GPUs) using a streamlined Python API or CLI. Whether you are tracking objects in 4K video or running pose estimation on a Raspberry Pi, YOLOv8 provides the precision and speed required for production-grade AI.

- Official technology site: https://github.com/ultralytics/ultralytics
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [How I spent $800 Building a Rat Terminator with ML (Instead of Hiring an Exterminator)](https://raleigh.aitinkerers.org/talks/rsvp_GQC-HE7VnGs)

There is a slide deck here: https://westcot.io/talks/you-dirty-rat/ Have a live version I may modify for in person demo that solves one of the problems with the stereo vision discussed in the deck. It's hard to do without slides as it's a narrative of starting with an automated trap and all the points (building bearings and movement with all the things I learned along the way).

- Event context: AI Tinkerers Raleigh Meetup — August 12, 2026 — 2026-08-12 — Raleigh
- Public talk page: https://raleigh.aitinkerers.org/talks/rsvp_GQC-HE7VnGs

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