For example, a model trained with airborne lidar wouldīe appropriate for classifying airborne lidar, not photogrammetric/SfM point clouds. Similar to the data used to train the model. Own, you need to make sure the data you intend to classify is Whether you're using someone else's deep learning model or your You can use the Evaluate Point Cloud Classification Model tool to see, from a statistical perspective, how well a trained model will perform on your specific data. See train a deep learning model for point cloud classification for more information on creating your own ![]() Look to ArcGIS Living Atlas to see if any models are available Most users will probably opt for models made by expertĭata scientists because it takes time and effort to do that work. You can use deep learning models created elsewhere or create Then recognize and classify those features in other data. Interest, and those are used to train a neural network that can Rather, you provide examples of features of You can use deep learning to classify LAS format point cloudsĭoesn't use predefined rules to identify specific things likeīuildings or ground. ![]()
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