Semantic segmentation data labeling and model training using Amazon SageMaker

Then I used the p3.2xlarge instance for model training by setting instance_type "ml.p3.2xlarge". The training completed in 8 minutes. The best MIoU (Mean Intersection over Union) of 0.846 is achieved at epoch 11 with a pix_acc (the percent of pixels in your image that are classified correctly) of 0.925, which is a pretty good result for this small dataset. I hosted the model on a low-cost ml.c5.xlarge instance: