Free Download 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 practical
AI-powered Computer Vision applications using
YOLO26, Gemini, and AI Vision Agents.
In this course, you'll learn
YOLO26 for object detection, segmentation, pose estimation, classification, and OBB, build
AI Vision Agents with Gemini and YOLO, and create real-world applications for
OCR, Document AI, invoice processing, and food & nutrition analysis.
The course focuses on practical projects that combine
Computer 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.
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