Label | Explanation | Data Type |
Input Raster
| The input image to classify. The image can be an image service URL, a raster layer, an image service, a map server layer, or an internet tiled layer. | Raster Layer; Image Service; Map Server; Map Server Layer; Internet Tiled Layer; String |
Input Model | The deep learning model that will be used to classify objects in the input image. The input is the URL of a deep learning package (.dlpk) item that contains the path to the deep learning binary model file, the path to the Python raster function to be used, and other parameters such as preferred tile size or padding. | File |
Output Name | The name of the feature service containing the classified objects. | String |
Input Features (Optional) | The feature service that identifies the location of each object or feature to be classified and labeled. Each row in the input feature service represents a single object or feature. If no input feature service is specified, each input image will be classified as a single object. If the input image or images use a spatial reference, the output from the tool is a feature class in which the extent of each image is used as the bounding geometry for each labeled feature class. If the input image or images are not spatially referenced, the output from the tool is a table containing the image ID values and the class labels for each image. | Feature Layer; Map Server Layer; String |
Model Arguments (Optional) | The function model arguments to use for the classification. These are defined in the Python raster function class referenced by the input model. This is where you list additional deep learning parameters and arguments for experiments and refinement, such as a confidence threshold for adjusting the sensitivity. The names of the arguments are populated by the tool from the Python module on the Raster Analytics server. | Value Table |
Class Label Field
(Optional) | The name of the field that will contain the class or category label in the output feature class. If a field name is not specified, a new field named ClassLabel will be generated in the output feature class. | String |
Processing Mode
(Optional) | Specifies how all raster items in a mosaic dataset or an image service will be processed. This parameter is applied when the input raster is a mosaic dataset or an image service.
| String |
Derived Output
Label | Explanation | Data Type |
Output Objects | The output feature set. | Feature Set |