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.

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).

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.

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.

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.

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).

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

The map layer "Shipping Canal Labeling" shows the labeling of the shipping canals in North Rhine-Westphalia with the canal names.

The map layer "Catchment area labeling" shows the labeling of the catchment areas of the watercourses in North Rhine-Westphalia with the area indicators.

This web map contains the same layers as the Imagery with Labels basemap that is available in the basemap gallery of ArcGIS.com's map viewer, ArcGIS Explorer Online, ArcGIS Explorer Desktop, and the mobile clients. The Imagery with Labels basemap contains the World Imagery map service with the Boundaries and Places map service drawn on top. When you use this basemap in a web map, any map services that you add into the map get sandwiched between the imagery and the labels drawn on top, so this is a good basemap you use if you want to see services that don't contain their own labels with imagery drawn behind them and reference labels drawn on top.This web map also includes the World Transportation map service. This service shows streets, roads and highways and their names. When you zoom in to the highest level of detail the lines disappear and you just see the street names and road numbers.Feedback: Have you ever seen a problem in the Esri World Imagery Map that you wanted to see fixed? You can use the Imagery Map Feedback web map to provide feedback on issues or errors that you see. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.Tip: This same web map is also available with transportation and road names turned on: Imagery with Labels and Transportation.Tip: Here are some famous locations as they appear in this web map, accessed by including their location in the URL that launches the map:Grand Canyon, Arizona, USAGolden Gate, California, USATaj Mahal, Agra, IndiaVatican CityBronze age white horse, Uffington, UKUluru (Ayres Rock), AustraliaMachu Picchu, Cusco, PeruOkavango Delta, Botswana

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.

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.

The map layer "Labeling watercourses" shows the labeling of the large watercourses in North Rhine-Westphalia with the names of the water bodies.

Structural characterization of small molecule binding site hotspots within the global proteome is uniquely enabled by photo-affinity labeling (PAL) coupled with chemical enrichment and unbiased analysis by mass spectrometry (MS). MS-based binding site hotspot maps provide structural resolution of interaction sites in conjunction with identification of target proteins. However, binding site hotspot mapping has been confined to relatively simple small molecules to date; extension to more complex compounds would enable the structural definition of new binding modes in the proteome. Here, we extend PAL and MS methods to derive a binding site hotspot map for the immunosuppressant rapamycin, a complex macrocyclic natural product that forms a ternary complex with the proteins FKBP12 and FRB. Photo-rapamycin was developed as a diazirine-based PAL probe for rapamycin, and the FKBP12–photo-rapamycin–FRB ternary complex formed readily in vitro. Photo-irradiation, digestion, and MS analysis of the ternary complex revealed a McLafferty rearrangement product of photo-rapamycin conjugated to specific surfaces on FKBP12 and FRB. Molecular modeling of the ternary complex based on the binding site map revealed a 5.0 Å minimum distance constraint between the conjugated residues and the diazirine carbon. Molecular dynamics further predicted a 9.0 Å labeling radius for the diazirine upon photo-activation that may be useful in the interpretation of binding site measurements from PAL more broadly. Thus, in characterizing the ternary complex of photo-rapamycin by MS, we applied binding site hotspot mapping to a macrocyclic natural product and extracted a precise structural measurement for interpretation of PAL products that may enable the discovery of new ligand space in the “undruggable” proteome.

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.

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.

LandsD Map Label API

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.

Landscape map — Theme map 9a ‘Protected areas and objects’ of the city of Trier. Geometry type: Lines. Stand: 2010