What are the main challenges in AI image segmentation?

What are the main challenges in AI image segmentation?

Some key challenges include variability in object appearance, occlusion, and the need for large annotated datasets.

How does occlusion affect image segmentation?

Occlusion can lead to incomplete data, making it difficult for algorithms to accurately identify and segment objects.

What role does dataset quality play in segmentation performance?

High-quality datasets with diverse examples improve model training, leading to better segmentation accuracy.

Are there any recent advancements in overcoming these challenges?

Yes, techniques like deep learning and transfer learning have shown promise in improving segmentation performance.

Can you recommend some resources to learn more about this topic?

Sure! Look into research papers on U-Net architecture and the latest conferences on computer vision.