What is the role of machine learning in image segmentation?
Machine learning enhances image segmentation by automating the process of identifying and classifying different regions in an image.
Can you explain how convolutional neural networks are used in this process?
Convolutional Neural Networks (CNNs) are designed to process pixel data and can learn to recognize patterns, making them ideal for segmenting images.
What are some common applications of image segmentation?
Common applications include medical imaging, autonomous vehicles, and object detection in computer vision.
Are there any challenges in using machine learning for segmentation?
Yes, challenges include the need for large labeled datasets, computational resources, and the risk of overfitting.
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