Computer Vision
Give your AI agents the ability to see and understand images and video.
Computer vision has been transformed by the intersection of classical object detection and modern LLMs. YOLO remains the fastest real-time object detection model for video streams. GPT-4o Vision and LLaVA handle open-ended visual question answering. Stable Diffusion and ComfyUI enable generation. Understanding all three is essential for building modern vision-capable AI systems.
In this track, I start with YOLO fundamentals — how inference works, how to fine-tune on custom objects with your own dataset, and how to build a real-time security camera that sends Telegram alerts when specific objects are detected. Then I move to multimodal agents: using GPT-4o Vision to reason about images and ComfyUI to generate them with precise control via ControlNet.
Whether you're building a quality control system for manufacturing, a content moderation system, or a creative image generation tool, this track gives you the technical depth to build production-ready vision applications.
📚 Learning Path
- YOLO object detection fundamentals
- Fine-tuning YOLO on custom datasets
- ComfyUI and Stable Diffusion pipelines
- Multimodal agents with GPT-4o Vision
- Build: Real-time security camera with alerts