What are the best image segmentation tools available?
There are several great image segmentation tools available, such as U-Net, Mask R-CNN, and DeepLab. Each has its strengths depending on your needs.
Can you explain how U-Net works?
U-Net is a convolutional neural network designed for biomedical image segmentation. It uses a contracting path to capture context and a symmetric expanding path for precise localization.
What are the main applications of image segmentation?
Image segmentation is widely used in medical imaging, autonomous vehicles, and object detection in computer vision.
Are there any open-source options for these tools?
Yes, many image segmentation tools like U-Net and Mask R-CNN have open-source implementations available on platforms like GitHub.
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