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Challenges in Fine-Grained Image Recognition
This chapter explores the complexities of fine-grained image recognition in computer vision, focusing on identifying and categorizing similar objects, specifically various car models. It discusses data gathering methods and the use of convolutional neural networks, illustrating the challenges and methodologies behind training AI for accurate vehicle classification. Additionally, the chapter examines the correlation between vehicle types and demographic voting patterns, reflecting societal divides influenced by urbanization.