Image Segmentation using UNETR in TensorFlow | Vision Transformer for Image Segmentation

📺 Video Description: In this video, we are going to train the UNEt TRansformers (UNETR) architecture on the Human Hair Segmentation dataset.

UNETR, or UNet Transformer, is a specialized architecture for medical image segmentation. It uses a pure transformer as the encoder, focusing on learning sequence representations for the input volume to capture global multi-scale information. The encoder connects directly to a decoder through skip connections, forming a U-Net-like structure and producing the ultimate semantic segmentation output.

🔧 Code: https://github.com/nikhilroxtomar/Ima...

🕒 Timeline:
00:00 - Introduction
01:02 - Project Structure and Dataset
02:40 - Training the UNETR
17:37 - Testing the UNETR
28:47 - Conclusion

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Immerse yourself in the world of UNETR and revolutionize your understanding of image segmentation. Subscribe, code along, and let's embark on this transformative journey together! 🚀✨