YOLO26 & AI Vision Agents Computer Vision with GenAI
Published 8/2026
Created by Muhammad Moin
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 10 Lectures ( 5h 27m ) | Size: 6.1 GB
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 & OBBYOLO26 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 DetectionAdvanced Real-World Projects
Building a Vehicle Intensity Heatmap from YOLO26 Detections Real-Time Bird's Eye View (BEV) System using YOLO26 and OpenCVAI Vision Agents for Computer Vision
Build a Minimal Vision Agent using LLM + YOLO Object Counting with YOLO and StreamlitAutonomous Vision Agents with Gemini & YOLO
Build a Fully Autonomous AI Vision Agent with Gemini & YOLO Add Segmentation and OCR toolsDocument & Invoice Processing
Build a Document & Invoice Processing Agent Extract and analyze information from documentsFood & Nutrition Vision Agent
Build a Food & Nutrition Agent Combine Computer Vision with nutrition lookup using real USDA dataWho 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
Code:
https://www.udemy.com/course/yolo26-ai-vision-agents-computer-vision-with-genai
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