YOLO26 & AI Vision Agents Computer Vision with GenAI

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

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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

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

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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

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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

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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

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