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Tensorflow semantic segmentation api
Hello, your Tensorflow object detection api sample is the most complete and clear I found in Github. I could slightly change it to test my own dataset, starting from dataset creation with LabelImg, till trained model output.
I have a question, may be you can ask. Currently there is a TensorFlow's Object Detection API, but I don't see any official api for semantic segmentation in Tensorflow. I found some Github repositories, but not coming from official Tensorflow Gihub. Can you suggest the best approach to accomplish semantic segmentation, starting from dataset creation? Or maybe you can make a new Github repository with your approach to this task?
Thanks a lot