• views: 137
• date: 26 August 2026
• posted by: voska89

Build vision agents with YOLO26, Gemini & Python for detection, segmentation, pose, OCR, document AI & real-world apps

What you'll learn

⚡ Build fully autonomous AI vision agents that decide on their own which tools to call, using Gemini function calling and YOLO26.
⚡ Train and fine-tune custom YOLO26 object detection models on your own datasets, including labeling with Roboflow.
⚡ Combine YOLO object detection, segmentation, and OCR tools inside a single multi-tool AI agent.
⚡ Build real-world agents for document/invoice processing and food & nutrition lookup using live external APIs.
⚡ Apply YOLO26 to real-world traffic analysis: vehicle detection heatmaps and bird's-eye-view (BEV) transformation.
⚡ Design agents that verify and ground their answers in real data, catching and avoiding hallucinated tool results.

Requirements

❗ No prior experience with AI agents, YOLO, or computer vision needed — every concept is explained from scratch.

Description

Learn how to build practicalAI-powered Computer Vision applications usingYOLO26, Gemini, and AI Vision Agents.
In this course, you'll learnYOLO26 for object detection, segmentation, pose estimation, classification, and OBB, buildAI Vision Agents with Gemini and YOLO, and create real-world applications forOCR, Document AI, invoice processing, and food & nutrition analysis.
The course focuses on practical projects that combineComputer Vision, Generative AI, and Vision Agents.

What You Will Learn

YOLO26 & Computer Vision
✨ YOLOv8, YOLO11 & YOLO26
✨ Object Detection, Segmentation, Pose Estimation, Classification & OBB
YOLO26 Custom Object Detection: Dataset Creation & Custom Model Training
✨ How to Annotate / Label a Custom Dataset Using Roboflow
✨ Train YOLO26 on a Custom Pothole Dataset for Pothole Detection
Advanced Real-World Projects
✨ Building a Vehicle Intensity Heatmap from YOLO26 Detections
✨ Real-Time Bird's Eye View (BEV) System using YOLO26 and OpenCV
AI Vision Agents for Computer Vision
✨ Build a Minimal Vision Agent using LLM + YOLO
✨ Object Counting with YOLO and Streamlit
Autonomous Vision Agents with Gemini & YOLO
✨ Build a Fully Autonomous AI Vision Agent with Gemini & YOLO
✨ Add Segmentation and OCR tools
Document & Invoice Processing
✨ Build a Document & Invoice Processing Agent
✨ Extract and analyze information from documents
Food & Nutrition Vision Agent
✨ Build a Food & Nutrition Agent
✨ Combine Computer Vision with nutrition lookup using real USDA data

Who this course is for

⭐ Computer vision practitioners curious about combining YOLO with LLM agents and function calling.
⭐ Anyone who wants practical, portfolio-ready AI agent projects to add to their resume.

Homepage

https://www.udemy.com/course/yolo26-ai-vision-agents-computer-vision-with-genai

   
   
   

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