Where Ultralytics is headed
From the models that brought real-time vision AI to millions, to the releases on the horizon. Here's what we've shipped and what's coming next.
The release that brought real-time object detection to millions — PyTorch-native, fast, and remarkably easy to train.
One framework for detection, segmentation, classification, pose estimation, and oriented bounding boxes.
A refined architecture delivering higher accuracy with fewer parameters, unveiled at YOLO Vision 2024.
Our current recommended model — faster, more accurate, and production-ready across every vision task.
The end-to-end platform to annotate data, train YOLO models, and deploy across 43 global regions — all in one place.
Our first semantic segmentation models — dense per-pixel class labels for full-scene understanding.
The research paper behind YOLO26 — detailing its NMS-free end-to-end design, the new MuSGD optimizer, and a state-of-the-art accuracy-latency tradeoff across all five model scales.
Faster, more accurate multi-object tracking — more stable identities through occlusions and crowded scenes for real-world video.
- Re-ID — re-identification keeps object identities consistent across cameras and after occlusions
Built-in knowledge distillation compresses large teacher models into smaller, faster students while helping preserve accuracy for efficient edge and real-time deployment.
Monocular depth estimation from a single camera, adding 3D spatial awareness without specialized depth sensors or lidar.
Ultralytics YOLO Vision 2026
The next flagship generation of YOLO, unveiled live at YOLO Vision 2026, expanding the family into 3D perception:
- YOLO-StereoDepth — binocular disparity depth for robotics, a camera-native alternative to lidar
Three product focus areas drive the Platform for the rest of the year:
- Auto-Training — iterative, LLM-driven training analysis that automatically diagnoses each run and refines the configuration over successive rounds to push accuracy higher
- On-Premise — run the Platform inside your own infrastructure, keeping data and training fully under your control
- Monitoring — production model monitoring to track performance, catch drift, and keep deployments healthy
New capabilities join the YOLO family throughout 2027:
- YOLO-OCR — fast, accurate text recognition
- YOLO-Face — facial recognition and analysis
- YOLO-VLM — a lightweight YOLO front-end feeding a deeper LLM layer for efficient vision-language pipelines
Build on the latest YOLO
Start training and deploying with YOLO26 today — and be ready for everything that's next.