Label placement and properties for identifying features are as important as the symbols that you use to represent the features. Like symbols, labels are included in both basemap and operational map layers. This course will show you how to add and customize labels for your maps.Goals Use ArcGIS Pro to label features in a map.

Vector Map Label API is a XYZ Vector Map Tile Service which enables application developers to retrieve vector map tiles with place name labels for overlaying onto the vector map.

This vector tile layer presents the World Terrain with Labels (Community Maps) style (World Edition) and provides a detailed reference overlay for the world, symbolized with populated places, admin areas, and boundary lines. The minimal features and styling is designed to draw attention to your thematic content. This layer is designed to be used with World Hillshade. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Terrain with Labels (Community Maps) web map.See the Vector Basemaps group for other vector tile layers. Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

This feature class depicts Forest Service trails where motorized use is allowed. It contains information on the specific type of motor vehicle and their seasons of use. The feature class is consistent with the appropriate National Forest's Motor Vehicle Use Map (MVUM). Non-motorized trails are not included in this data. Trails in this feature class are legal for some motorized use for at least a portion of the year. Any reference to Open or Dates Open refers strictly to when it is legal to use that motor vehicle on the trail. It is not meant to describe when the conditions would be appropriate for that use. As an example, a trail may be designated open to motorcycles all year long but there may be periods of time when snow depth prevents the use of motorcycles on that trail. It is compiled from the GIS Data Dictionary data and tabular data that the administrative units have prepared for the creation of their MVUMs. This data is published and refreshed on a unit by unit basis as needed. Individual unit's data must be verified and proved consistent with the published MVUMs prior to publication in the Enterprise Data Warehouse (EDW).

This vector tile layer presents the Human Geography Label style (World Edition) and provides a detailed vector basemap for world labels designed to draw attention to your thematic content. This is similar in content and style to the popular Light Gray Canvas map. The map includes labels for highways, major roads, minor roads, water features, cities, landmarks, and administrative boundaries. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Human Geography Map web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers. Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

The toponymic features of the CanVec series include proper nouns designating places and representations of the territory. This data come from provincial, territorial and Canadian toponymic databases. They are used in the CanVec Series for cartographic reference purposes and vary according to the scale of display. The toponymic features of the CanVec series can differ from the Canada's official geographical names. The CanVec multiscale series is available as prepackaged downloadable files and by user-defined extent via a Geospatial data extraction tool. Related Products: Topographic Data of Canada - CanVec Series Users can obtain information about Canada's official toponyms at: Geographical names in Canada

The feature class indicates the specific types of motorized vehicles allowed on the designated routes and their seasons of use. The feature class is designed to be consistent with the Motor Vehicle Use Map (MVUM). Only roads with a SYMBOL attribute value of 1, 2, 3, 4, 11, and 12 are Forest Service System roads and contain data concerning their availability for OHV (Off Highway Vehicle) use. This data is published and refreshed on a unit by unit basis as needed. Information for each individual unit must be verified as to be consistent with the published MVUMs prior to inclusion in this data. Not every National Forest has data included in this feature class.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

A map service depicting Forest Service roads and trails that are designated for motor vehicle use under the official U.S. Government Code of Federal Regulations for identifying designated roads and trails (36 CFR 212.56). Road and Trail MVUM. The difference between MVUM_01 and MVUM_02 is that MVUM_02 has trails and roads in the MVUM Symbology group labeled while MVUM_01 does not. Additional roads, such as highways, county roads or public roads, are included for mapping purposes. This map service shows the specific types of motorized vehicles allowed on the designated routes and their seasons of use. Data used in this map service are designed to be consistent with the MVUM (Motor Vehicle Use Map). The road and trail data are compiled from the GIS Data Dictionary data and Infra tabular data that the U.S. Forest Service administrative units have prepared for the creation of their MVUMs. This data is published and refreshed on a unit by unit basis as needed and approved by the individual units in order to stay in sync and consistent with the published MVUMs. Only roads with the symbol value of 1,2,3, 4, 11, 12 are Forest Service System roads and contain data concerning their availability for OHV use. Only trails with the symbol value of 5-12, 16, 1. are Forest Service System trails and contain data concerning their availability for motorized use.�Metadata and Downloads

LandsD Map Label API

This map features shaded relief imagery, bathymetry and coastal water features that provide neutral background with political boundaries and placenames for reference purposes. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Hillshade and Terrain with Labels.

Labeling Map Objects

## Overview

Labeling Map Objects is a dataset for object detection tasks - it contains Cars People Trees annotations for 424 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The Terrain with Labels (Community Maps) (World Edition) web map includes populated places, admin areas, boundary lines and roads overlaying an artistic multidirectional hillshade. The minimal features and styling is designed to draw attention to your thematic content. Where provided, data for these features, including roads and administrative lines, are from Community Map contributors.This basemap uses the World Terrain with Labels (Community Maps) vector tile layer and World Hillshade.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

Important Note: This item is in mature support. There are new versions of basemaps available for your use. Esri recommends updating your maps and apps to use the appropriate new version. This map features shaded relief imagery, bathymetry and coastal water features that provide neutral background with political boundaries and placenames for reference purposes. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Terrain Base and World Reference Overlay map service descriptions.

Multiple geographical feature label placement (MGFLP) has been a fundamental problem in cartographic visualization over the decades. The nature of label placement is proven NP-hard, where the complexity of such a problem is directly influenced by the volume of input datasets.

T stands for the accuracy between a PI>30% and the tumor area delineated by the source-based labels maps; while N stands for the accuracy between a PI≤5% and the corresponding non-tumor area. The numbers in parentheses correspond to the number of correctly labeled voxels from the total. The last row contains the mean values for each column.

The Terrain with Labels (World Edition) web map includes populated places, admin areas, boundary lines and roads overlaying an artistic multidirectional hillshade. The minimal features and styling is designed to draw attention to your thematic content. This basemap, included in the ArcGIS Living Atlas of the World, the World Terrain Reference and World Terrain Base vector tile layers and World Hillshade.The vector tile layers in this web map are built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.Use this MapThis map is designed to be used as a basemap for overlaying other layers of information or as a stand-alone reference map. You can add layers to this web map and save as your own map. If you like, you can add this web map to a custom basemap gallery for others in your organization to use in creating web maps. If you would like to add this map as a layer in other maps you are creating, you may use the tile layers referenced in this map.

Important Note: This item is in mature support. There are new versions of basemaps available for your use. Esri recommends updating your maps and apps to use the appropriate new version. This map features satellite and high-resolution aerial imagery for the world with political boundaries and place names for reference purposes. The map is intended to support the ArcGIS Online basemap gallery. For more details on the map, please visit the World Imagery and World Boundaries and Places map service descriptions.

Accurate, high-resolution maps of bedrock outcrops are extremely valuable. The increasing availability of high-resolution imagery can be coupled with machine learning techniques to improve regional bedrock maps. This data release contains training data created for developing a machine learning model capable of identifying exposed bedrock across the entire Sierra Nevada Mountains (California, USA). The training data consist of 20 thematic rasters in GeoTIFF format, where image labels represent three categories: rock, not rock, and no data. These training data labels were created using 0.6-m imagery from the National Agriculture Imagery Program (NAIP) acquired in 2016. Eight existing labeled sites were available from Petliak et al. (2019), an earlier effort. We further revised those labels for improved accuracy and created additional 12 reference sites following the same protocol of semi-manual mapping in Petliak et al. (2019). A machine learning model (https://github.com/nasa/delta) was trained and tested based on these image labels as detailed in Shastry et al. (in review). The trained model was then used to map exposed bedrock across the entire Sierra Nevada region using 2016 NAIP imagery, and this data release also includes these model outputs. The model output gives the likelihood (from 0 to 255) that each pixel is bedrock, and not a direct binary classification. The associated publication used a threshold of 50%, or pixel value 127, where all pixel values 127 or higher are classified as rock and less than as not rock.

Dynamic floating label points created to be used in City of Phoenix Web Mapping Applications.

T stands for the accuracy between the supervised tumor labels (as in figure 6) and the tumor area delineated by the source-based labels maps; while N stands for the accuracy between the non-tumor labels and the corresponding non-tumor area. The numbers in parentheses correspond to the number of correctly labeled voxels from the total. The last row contains the mean values for each column.