Hi guys! I am exploring implementing semantic segmentation on my own set of data. Hopefully by fine-tuning an existing model. I am familiar with normal image classification models built on keras and tensorflow. But I am not sure where to start for semantic segmentation. Does anyone have any resources/guides for this. It would be greatly appreciated. Thank you!
Lesson 14 of part 2 covers semantic segmentation by implementing the 100 Layer Tiramisu. This is my implementation on the Camvid dataset. https://github.com/yashk2810/Semantic-Image-Segmentation
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Thanks, will check it out!