AI and machine learning
YOLOv8
YOLOv8 for detection and segmentation in production vision systems and in my published research.
How I use it
I have used YOLOv8 for people counting on buses and vehicle detection in parking lots, both running on live camera feeds, and I have evaluated YOLO segmentation models on a custom dataset for a research paper. It is fast enough for real time on modest hardware and easy to fine-tune on your own data.
Offered through
Shipped with YOLOv8
All projects →Questions clients ask about YOLOv8
- How much labelled data does a YOLO model need?
- Less than people expect for a narrow task. A few hundred well-labelled images is often enough to fine-tune for a specific camera and object set. The labelling quality matters more than the count.
Work with me
Need YOLOv8 work done?
I work remotely with clients across the US, Canada, the UK, the UAE, Brazil and Australia. Tell me what you are building and I will reply with questions, a plan and an estimate.
- Published in IEEE Access, 2025
- BSc CS, Gold Medalist
- Clients in 6 countries
- 10 shipped projects

