Semantic Segmentation - MxNet — sagemaker 2.199.0 documentation (original) (raw)
This is a supervised semantic segmentation algorithm which supports fine-tuning of many pre-trained models available in MXNet. The followingsample notebookdemonstrates how to use the Sagemaker Python SDK for Semantic Segmentation for using these algorithms.
For detailed documentation please refer Use Built-in Algorithms with Pre-trained Models in SageMaker Python SDK
Available Models¶
Model ID | Fine Tunable? | Latest Version | Min SDK Version | Source |
---|---|---|---|---|
mxnet-semseg-fcn-resnet101-ade | True | 2.0.0 | 2.189.0 | GluonCV |
mxnet-semseg-fcn-resnet101-coco | True | 2.0.0 | 2.189.0 | GluonCV |
mxnet-semseg-fcn-resnet101-voc | True | 2.0.0 | 2.189.0 | GluonCV |
mxnet-semseg-fcn-resnet50-ade | True | 2.0.0 | 2.189.0 | GluonCV |