Why Choose UNET for Image Segmentation?

Why U-Net? Look, I'll be honest with you. There are better models than U-Net out there and newer models are being released every month. However, U-Net was designed for biomedical applications such as XRay, and MRI Images for tumor detection.

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U-Net is preferred over other architectures largely because of the 3 reasons:

1. Simplicity - U-Net has a very simple architecture with no complicated convolutional blocks
2. Good Baseline Architecture - It's not only a better choice for advanced-level applications but acts as a great starting for beginners, too.
3. Competitive Performance - U-Net produces excellent results with far better accuracy and minimum occurring loss.

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