Ultralytics Just Added Semantic Segmentation Models & They Look INSANE
Just tested the new Ultralytics Semantic Segmentation models on video inference and honestly the results are super clean 👀
The new -sem models include:
• yolo26n-sem.pt
• yolo26s-sem.pt
• yolo26m-sem.pt
• yolo26l-sem.pt
• yolo26x-sem.pt
Big upgrades:
✅ Pixel-level scene understanding
✅ Semantic masks directly in inference outputs
✅ Cityscapes + ADE20K support
✅ PNG mask datasets supported
✅ Mosaic, MixUp, CutMix & perspective transforms now support semantic masks
✅ Real-time video inference performance 🚀
This feels like a huge step for:
🚗 Autonomous Driving
🤖 Robotics
📹 Smart Surveillance
🏙️ Smart City Applications
⚡ Edge AI
I tested it on video and shared the demo here:
https://youtu.be/swnAMHKZU20
Curious to know:
Do you think semantic segmentation will become the next major focus after object detection?