What is deep learning in segmentation?

What is deep learning in segmentation?

Deep learning in segmentation refers to using neural networks to partition images into meaningful segments, enhancing object recognition.

How does it differ from traditional segmentation methods?

Unlike traditional methods that rely on manual feature extraction, deep learning automates this process, improving accuracy and efficiency.

Can you give me examples of deep learning models used for segmentation?

Sure! Common models include U-Net, Mask R-CNN, and DeepLab, each designed for specific segmentation tasks.

What are the applications of segmentation in real-world scenarios?

Segmentation is widely used in medical imaging, autonomous driving, and image editing, among other fields.