Unlock the Power of Computer Vision with Vision Transformers & Vision Language Models

This comprehensive project-based course is designed to equip you with the skills and knowledge needed to build modern computer vision applications using Vision Transformers, Segment Anything Model, Contrastive Language Image Pre-Training, attention mechanism, and other AI models. By the end of this course, you'll be able to create a wide range of applications, from satellite image classification and soil type classification to visual search engines and object detection systems.

As a responsible AI educator, we want to assure you that all instructional content, explanations, and project walkthroughs were fully created manually by the instructor, with no reliance on AI tools for the course outline or thumbnail creation.

Course Overview

This course is a perfect combination of artificial intelligence and computer vision, making it an ideal opportunity for you to practice your programming skills while improving your technical knowledge in deep learning. You'll learn the basic fundamentals of Vision Transformers and Vision Language Model, including their use cases and how the system works.

Course Projects

• Build a satellite image classification system using Vision Transformers to analyze satellite images and categorize different land types.

• Develop a soil type classification system using Vision Transformers to analyze soil images and classify different soil categories.

• Perform image segmentation using the Segment Anything Model to remove product backgrounds and segment flood areas.

• Categorize E-commerce product images using Contrastive Language Image Pre-Training for automated product categorization.

• Build a visual search engine for fashion product recommendations using a visual search engine.

• Develop a multi-object tracking system using ByteTrack and attention mechanisms to track multiple drones in video footage.

• Build a smart home security system using Gemini Vision Language Model to analyze CCTV footage and generate security alerts.

• Develop a real estate property description generator using Mistral Vision Language Model to create detailed property descriptions.

• Build a retail inventory visual question answering assistant to answer questions about stock availability and product quantity.

• Develop an object detection system using PyTorch and RetinaNet to detect objects in images.

• Perform optical character recognition using the GPT model to extract text from images.

• Build and design a simple web interface using Gradio to visualize your models and share them with others.

What You'll Learn

• Learn the basic fundamentals of Vision Transformers and Vision Language Model.

• Learn how to build satellite image classification systems and soil type classification systems using Vision Transformers.

• Learn how to load and process satellite image data and apply transfer learning to satellite image classification models.

• Learn how to process soil data and apply transfer learning.

• Learn how to remove product backgrounds and segment flood areas using the Segment Anything Model.

• Learn how to categorize E-commerce product images using Contrastive Language Image Pre-Training.

• Learn how to build visual search engines and multi-object tracking systems using ByteTrack and attention mechanisms.

• Learn how to build smart home security systems and real estate property description generators using Vision Language Models.

• Learn how to build retail inventory visual question answering assistants and object detection systems using PyTorch and RetinaNet.

• Learn how to perform optical character recognition using the GPT model.

• Learn how to build and design simple web interfaces using Gradio.