Overview

This book explores cutting-edge computer vision techniques, starting with zero-shot and few-shot learning, DETR, and DINO for object detection. It covers advanced segmentation models like Segment Anything and Vision Transformers, along with YOLO and CLIP. Using PyTorch, readers will learn image regression, multi-task learning, multi-instance learning, and deep metric learning. Hands-on coding examples, dataset preparation, and optimization techniques help apply these methods in real-world scenarios. Each chapter tackles key challenges, introduces architectural innovations, and improves performance in object detection, segmentation, and vision-language tasks.

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9789365898408

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Zonunfeli Ralte, known as Feli, is an accomplished AI leader with an extraordinary career spanning data science, artificial intelligence, and generative AI. With a Master's in Business Administration and Economics, and 16 years of professional experience across data science, analytics, finance, and AI, she has established herself as a trailblazer in her field.

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