Machine learning benefits image recognition by enabling automatic feature extraction and improving accuracy in identifying patterns and objects. Algorithms learn from large datasets, generalizing to recognize objects in new images.
Models like CNNs excel at tasks such as image classification, object detection, and facial recognition. Pre-trained models further simplify the process, allowing customization for specific applications through transfer learning.
Machine learning also enhances scalability and adaptability, making it possible to deploy image recognition systems in diverse fields, including healthcare, security, and autonomous systems.