firdous55/my-cartoon-dataset dataset hosted on Hugging Face and contributed by the HF Datasets community

Part 3 out of 4 For more information, see: http://www.endchildpoverty.org.uk/poverty-in-your-area-2016/ Estimated rates of child poverty from 2016 and 2018 on the level of child poverty in each constituency, local authority and ward in the UK before and after housing costs. Data is split across 26 xlsx files. For more information, visit http://www.endchildpoverty.org.uk/poverty-in-your-area-2016/ and https://mss.carto.com/viz/064da52a-2edc-4b7b-a709-f3697a5928b0/public_map Visualisations on % children living in poverty can be found here: https://mss.carto.com/viz/064da52a-2edc-4b7b-a709-f3697a5928b0/public_map Estimated rates of child poverty from 2016 and 2018 on the level of child poverty in each constituency, local authority and ward in the UK before and after housing costs. Data is split across 26 xlsx files. For more information, visit http://www.endchildpoverty.org.uk/poverty-in-your-area-2016/ and https://mss.carto.com/viz/064da52a-2edc-4b7b-a709-f3697a5928b0/public_map

Part 1 out of 4 For more information, see: http://www.endchildpoverty.org.uk/poverty-in-your-area-2016/ Estimated rates of child poverty from 2016 and 2018 on the level of child poverty in each constituency, local authority and ward in the UK before and after housing costs. Data is split across 26 xlsx files. For more information, visit http://www.endchildpoverty.org.uk/poverty-in-your-area-2016/ and https://mss.carto.com/viz/064da52a-2edc-4b7b-a709-f3697a5928b0/public_map Visualisations on % children living in poverty can be found here: https://mss.carto.com/viz/064da52a-2edc-4b7b-a709-f3697a5928b0/public_map Estimated rates of child poverty from 2016 and 2018 on the level of child poverty in each constituency, local authority and ward in the UK before and after housing costs. Data is split across 26 xlsx files. For more information, visit http://www.endchildpoverty.org.uk/poverty-in-your-area-2016/ and https://mss.carto.com/viz/064da52a-2edc-4b7b-a709-f3697a5928b0/public_map

CartoDX

## Overview

CartoDX is a dataset for object detection tasks - it contains Features annotations for 838 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 [MIT license](https://creativecommons.org/licenses/MIT).

This layer shows the location of the CartoHydroLine of iB1000 in Hong Kong. It is a subset of Digital Topographic Map made available by Lands Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://www.hkmapservice.gov.hk/ ("HKMS 2.0"). The source data is in Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and referencing purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.

The Global GIS Mapping Tools Market is poised for significant expansion, projected to reach a substantial market size of $10 billion by 2025, with an anticipated Compound Annual Growth Rate (CAGR) of 12.5% through 2033. This robust growth trajectory is fueled by the increasing demand for advanced spatial analysis and visualization capabilities across a multitude of sectors. Key drivers include the escalating need for accurate geological exploration to identify and manage natural resources, the critical role of GIS in planning and executing complex water conservancy projects for sustainable water management, and the indispensable application of GIS in urban planning for efficient city development and infrastructure management. Furthermore, the burgeoning adoption of cloud-based and web-based GIS solutions is democratizing access to powerful mapping tools, enabling broader use by organizations of all sizes. The market is also benefiting from advancements in data processing, artificial intelligence integration, and the growing availability of open-source GIS platforms. Despite the optimistic outlook, certain restraints could temper the market's full potential. High initial investment costs for sophisticated GIS software and hardware, coupled with a shortage of skilled GIS professionals in certain regions, may pose challenges. However, the overwhelming benefits of enhanced decision-making, improved operational efficiency, and the ability to gain deep insights from spatial data are compelling organizations to overcome these hurdles. The competitive landscape is dynamic, featuring established players like Esri and Autodesk alongside innovative providers such as Mapbox and CARTO, all vying for market share by offering specialized features, user-friendly interfaces, and integrated solutions. The continuous evolution of GIS technology, driven by the integration of remote sensing data, big data analytics, and real-time information, will continue to shape the market's future. Here's a comprehensive report description on GIS Mapping Tools, incorporating your specified requirements:

This in-depth report provides a panoramic view of the global GIS Mapping Tools market, meticulously analyzing its landscape from the Historical Period (2019-2024) through to the Forecast Period (2025-2033), with 2025 serving as both the Base Year and the Estimated Year. The study period encompasses 2019-2033, offering a robust historical context and forward-looking projections. The market is valued in the millions of US dollars, with detailed segment-specific valuations and growth trajectories. The report is structured to deliver actionable intelligence to stakeholders, covering market concentration, key trends, regional dominance, product insights, and critical industry dynamics. It delves into the intricate interplay of companies such as Esri, Hexagon, Autodesk, CARTO, and Mapbox, alongside emerging players like Geoway and Shenzhen Edraw Software, across diverse applications including Geological Exploration, Water Conservancy Projects, and Urban Planning. The analysis also differentiates between Cloud Based and Web Based GIS solutions, providing a granular understanding of market segmentation.

Carton Count

## Overview

Carton Count is a dataset for object detection tasks - it contains Cardboard Box annotations for 3,543 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 description of the data is available in the data batch metadata sheet “Soil Observatory at the Municipal Level of the Region New-Aquitaine for 2013 — Beta Version” referenced below and accessible by the following address after insertion in your search engine:

http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-2bd25601-a8bc-4a19-a0b8-7ebf519da483

The geographical area covered by the data available here is the southwest quarter of the Gironde department: — south of a line running from Lège Cap Ferret (33236) to the west to the commune of Pineuilh (33324) to the east — west of a line from the commune of Daignac (33147) to the north to the commune of Captieux (33095) to the south.

When using OSCOM data, it is advisable to refer to the file N_OSCOM2013_TxVectMajic_033.csv. If the rate of vectorisation of the communes studied is low, the relevance of the data should be checked before any conclusion is reached.

The data is also available in WMS and WFS: Warnings — Position on the address, right click, copy the link address and paste into the WMS server connection dialog box, WFS. The use of another method leads to the appearance of parasitic spaces. — Problems with displaying multi polygons via the use of WFS (under resolution) — prefer data download if presence of multi polygons — WFS display of more than 500 objects via the WFS impossible at the moment

WMS address for integration into a GIS from Geoide_Carto: http://data.geo-ide.application.developpement-durable.gouv.fr/WMS/228/OSCOM2013_033_donneesagr?

WFS address for GIS integration (See warning above). http://ogc.geo-ide.developpement-durable.gouv.fr/cartes/mapserv?map=/opt/data/carto/geoide-catalogue/REG072A/JDD.www.map

The Data Monetization Solutions market is experiencing robust growth, projected to reach $1884.2 million in 2025. While the provided CAGR is missing, considering the rapid expansion of data-driven businesses and increasing regulatory focus on data privacy and ownership, a conservative estimate of the Compound Annual Growth Rate (CAGR) for the forecast period (2025-2033) would be between 15% and 20%. This growth is fueled by several key drivers: the rising need for organizations to generate revenue from their data assets, the increasing adoption of cloud-based data monetization platforms, and the growing demand for advanced analytics and AI-powered solutions capable of extracting valuable insights from complex datasets. Significant trends shaping the market include the emergence of data marketplaces, the expansion of data sharing agreements, and a rising emphasis on ethical and responsible data monetization practices. Despite this positive outlook, challenges remain, such as concerns over data security and privacy, the complexity of data governance, and the lack of standardized data formats hindering interoperability. These restraints, while present, are not expected to significantly impede the overall market growth trajectory in the long term. The market is segmented by application (Retail & FMCG, Telco & Utilities, Healthcare, BFSI, and Others) and type (Cloud-based and On-premises). The cloud-based segment is expected to dominate due to its scalability, flexibility, and cost-effectiveness. Geographically, North America and Europe currently hold the largest market share, but regions like Asia-Pacific are poised for significant growth due to increasing digitalization and investment in data infrastructure. The key players driving innovation and competition in this space include established technology firms like SAS and Infosys, along with specialized data monetization solution providers such as Sisense, Carto, and LiveRamp. Their continued development of innovative solutions, strategic partnerships, and mergers and acquisitions will further shape the market landscape. The forecast period suggests continued strong growth for Data Monetization Solutions, driven by the ever-increasing value placed on data assets and the continual advancement of technology enabling efficient and secure data monetization. The focus on data privacy regulations will also contribute to this growth by fueling the demand for secure and compliant solutions. The market’s future hinges on addressing the challenges related to data governance and interoperability while capitalizing on the opportunities presented by emerging technologies and changing business models.

The description of the data is available in the data batch metadata sheet “Soil Observatory at the Municipal Level of the Region New-Aquitaine for 2013 — Beta Version” referenced below and accessible by the following address after insertion in your search engine:

http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-2bd25601-a8bc-4a19-a0b8-7ebf519da483

The geographical area covered by the data available here is the south-eastern quarter of the Lot and Garonne department: — south of a line running from the commune of Ruffiac (47227) to the west to the commune of Courbiac (47072) to the east — east of a line from the commune of Lafitte sur Lot (47127) to the north to the commune of Nomdieu (47197) to the south.

When using OSCOM data, please refer to the file N_OSCOM2013_TxVectMajic_047.csv. If the rate of vectorisation of the communes studied is low, the relevance of the data should be checked before any conclusion is reached.

The data is also available in WMS and WFS: Warnings — Position on the address, right click, copy the link address and paste into the WMS server connection dialog box, WFS. The use of another method leads to the appearance of parasitic spaces. — Problems with displaying multi polygons via the use of WFS (under resolution) — prefer data download if presence of multi polygons — WFS display of more than 500 objects via the WFS impossible at the moment

WMS address for integration into a GIS from Geoide_Carto: http://data.geo-ide.application.developpement-durable.gouv.fr/WMS/228/OSCOM2013_047_donneesbrutes?

WFS address for GIS integration (See warning above). http://ogc.geo-ide.developpement-durable.gouv.fr/cartes/mapserv?map=/opt/data/carto/geoide-catalogue/REG072A/JDD.www.map

This dataset, which is a supplement to the main Places & Sentiment dataset from The Data Appeal Company, contains “text snippets” of individual reviews and social media posts collected for Point of Interests avilable in the "Places & Sentiment" database. These are real text extracts that clients or users leave in online platforms after their experience at the "place" (POI).

The description of the data is available in the data batch metadata sheet “Soil Observatory at the Municipal Level of the Region New-Aquitaine for 2013 — Beta Version” referenced below and accessible by the following address after insertion in your search engine:

http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-2bd25601-a8bc-4a19-a0b8-7ebf519da483

The geographical area covered by the data available here is the north-eastern quarter of the Department of Landes: — north of a line running from the commune of Vieux Boucau (40328) to the west to the commune of Lussagnet (40166) to the east — east of a line from the municipality of Mano (40171) to the north to the commune of Cauna (40076) to the south.

When using OSCOM data, it is advisable to refer to the file N_OSCOM2013_TxVectMajic_040.csv. If the rate of vectorisation of the communes studied is low, the relevance of the data should be checked before any conclusion is reached.

The data is also available in WMS and WFS: Warnings — Position on the address, right click, copy the link address and paste into the WMS server connection dialog box, WFS. The use of another method leads to the appearance of parasitic spaces. — Problems with displaying multi polygons via the use of WFS (under resolution) — prefer data download if presence of multi polygons — WFS display of more than 500 objects via the WFS impossible at the moment

WMS address for integration into a GIS from Geoide_Carto: http://data.geo-ide.application.developpement-durable.gouv.fr/WMS/228/OSCOM2013_040_donneesbrutes?

WFS address for GIS integration (See warning above). http://ogc.geo-ide.developpement-durable.gouv.fr/cartes/mapserv?map=/opt/data/carto/geoide-catalogue/REG072A/JDD.www.map

The description of the data is available in the data batch metadata sheet “Soil Observatory at the Municipal Level of the Region New-Aquitaine for 2013 — Beta Version” referenced below and accessible by the following address after insertion in your search engine: http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-2bd25601-a8bc-4a19-a0b8-7ebf519da483 The geographical area covered by the data available here is the north-eastern quarter of the department of LANDES: — north of a line running from the commune of Vieux Boucau (40328) to the west to the commune of Lussagnet (40166) to the east — east of a line from the municipality of Mano (40171) to the north to the commune of Cauna (40076) to the south. When using OSCOM data, it is advisable to refer to the file N_OSCOM2013_TxVectMajic_040.csv. If the rate of vectorisation of the communes studied is low, the relevance of the data should be checked before any conclusion is reached. The data is also available in WMS and WFS: Warnings — Position on the address, right click, copy the link address and paste into the WMS server connection dialog box, WFS. The use of another method leads to the appearance of parasitic spaces. — Problems with displaying multi polygons via the use of WFS (under resolution) — prefer data download if presence of multi polygons — WFS display of more than 500 objects via the WFS impossible at the moment WMS address for integration into a GIS from Geoide_Carto: http://data.geo-ide.application.developpement-durable.gouv.fr/WMS/228/OSCOM2013_040_donneesagr? WFS address for GIS integration (See warning above). http://ogc.geo-ide.developpement-durable.gouv.fr/cartes/mapserv?map=/opt/data/carto/geoide-catalogue/REG072A/JDD.www.map

The description of the data is available in the data batch metadata sheet “Soil Observatory at the Municipal Level of the Region New-Aquitaine for 2013 — Beta Version” referenced below and accessible by the following address after insertion in your search engine:

http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-2bd25601-a8bc-4a19-a0b8-7ebf519da483

The geographical area covered by the data available here is the north-eastern quarter of the department of the Pyrénées Atlantiques: — north of a line running from Aïnhoa (64014) to the west to the commune of Montaner (64398) to the east — east of a line from the commune of Saint Médard (64491) to the north to the commune of Abos (64005) to the south.

When using OSCOM data, it is advisable to refer to the file N_OSCOM2013_TxVectMajic_064.csv. If the rate of vectorisation of the communes studied is low, the relevance of the data should be checked before any conclusion is reached.

The data is also available in WMS and WFS: Warnings — Position on the address, right click, copy the link address and paste into the WMS server connection dialog box, WFS. The use of another method leads to the appearance of parasitic spaces. — Problems with displaying multi polygons via the use of WFS (under resolution) — prefer data download if presence of multi polygons — WFS display of more than 500 objects via the WFS impossible at the moment

WMS address for integration into a GIS from Geoide_Carto: http://data.geo-ide.application.developpement-durable.gouv.fr/WMS/228/OSCOM2013_064_donneesagr?

WFS address for GIS integration (See warning above). http://ogc.geo-ide.developpement-durable.gouv.fr/cartes/mapserv?map=/opt/data/carto/geoide-catalogue/REG072A/JDD.www.map

The Spatial Location Services market is experiencing robust growth, driven by increasing adoption of location-based technologies across diverse sectors. The market, estimated at $15 billion in 2025, is projected to expand significantly over the next decade, fueled by a Compound Annual Growth Rate (CAGR) of 12%. This growth is primarily attributed to several key factors. Firstly, the proliferation of smart devices and the ubiquitous nature of mobile internet connectivity are creating a massive demand for precise and reliable location information. Secondly, the rising need for enhanced navigation, asset tracking, and location-based analytics across various industries, including logistics, transportation, retail, and public safety, is propelling market expansion. The integration of spatial location services with other technologies, such as AI and IoT, further amplifies its utility and market potential. The market is segmented by application (commercial, municipal, military, and others) and by type (indoor and outdoor positioning), with commercial applications currently dominating the market share. Competition is fierce, with both established tech giants and specialized startups vying for market leadership. Key players are continuously innovating to improve the accuracy, speed, and affordability of their services, leading to a dynamic and rapidly evolving market landscape. Looking ahead, several trends will shape the future of the spatial location services market. The increasing demand for real-time location tracking, the development of more sophisticated indoor positioning technologies, and the adoption of 5G networks will all contribute to market growth. However, challenges remain, such as data privacy concerns, the need for accurate and consistent data across various platforms, and the high cost of implementing advanced location technologies in certain sectors. Addressing these challenges will be crucial for unlocking the full potential of the spatial location services market. Regions like North America and Europe currently hold the largest market share, driven by high technology adoption and robust infrastructure. However, rapidly developing economies in Asia-Pacific are poised for significant growth in the coming years, presenting attractive opportunities for market expansion. The market's trajectory suggests a bright outlook for innovative companies able to navigate the technological and regulatory landscape.

The description of the data is available in the data batch metadata sheet “Soil Observatory at the Municipal Level of the Region New-Aquitaine for 2013 — Beta Version” referenced below and accessible by the following address after insertion in your search engine:

http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-2bd25601-a8bc-4a19-a0b8-7ebf519da483

The geographical area covered by the data available here is the north-eastern quarter of the Gironde department: — north of a line running from Lège Cap Ferret (33236) to the west to the commune of Pineuilh (33324) to the east — east of a line from the commune of Donnezac (33151) to the north to the commune of Carignan de Bordeaux (33099) to the south.

When using OSCOM data, it is advisable to refer to the file N_OSCOM2013_TxVectMajic_033.csv. If the rate of vectorisation of the communes studied is low, the relevance of the data should be checked before any conclusion is reached.

The data is also available in WMS and WFS: Warnings — Position on the address, right click, copy the link address and paste into the WMS server connection dialog box, WFS. The use of another method leads to the appearance of parasitic spaces. — Problems with displaying multi polygons via the use of WFS (under resolution) — prefer data download if presence of multi polygons — WFS display of more than 500 objects via the WFS impossible at the moment

WMS address for integration into a GIS from Geoide_Carto: http://data.geo-ide.application.developpement-durable.gouv.fr/WMS/228/OSCOM2013_033_donneesbrutes?

WFS address for GIS integration (See warning above). http://ogc.geo-ide.developpement-durable.gouv.fr/cartes/mapserv?map=/opt/data/carto/geoide-catalogue/REG072A/JDD.www.map

The description of the data is available in the data batch metadata sheet “Soil Observatory at the Municipal Level of the Region New-Aquitaine for 2013 — Beta Version” referenced below and accessible by the following address after insertion in your search engine: http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-2bd25601-a8bc-4a19-a0b8-7ebf519da483 The geographical area covered by the data available here is the northwest quarter of the Department of Landes: — north of a line running from the commune of Vieux Boucau (40328) to the west to the commune of Lussagnet (40166) to the east — west of a line from the municipality of Mano (40171) to the north to the commune of Cauna (40076) to the south. When using OSCOM data, it is advisable to refer to the file N_OSCOM2013_TxVectMajic_040.csv. If the rate of vectorisation of the communes studied is low, the relevance of the data should be checked before any conclusion is reached. The data is also available in WMS and WFS: Warnings — Position on the address, right click, copy the link address and paste into the WMS server connection dialog box, WFS. The use of another method leads to the appearance of parasitic spaces. — Problems with displaying multi polygons via the use of WFS (under resolution) — prefer data download if presence of multi polygons — WFS display of more than 500 objects via the WFS impossible at the moment WMS address for integration into a GIS from Geoide_Carto: http://data.geo-ide.application.developpement-durable.gouv.fr/WMS/228/OSCOM2013_040_donneesbrutes? WFS address for GIS integration (See warning above). http://ogc.geo-ide.developpement-durable.gouv.fr/cartes/mapserv?map=/opt/data/carto/geoide-catalogue/REG072A/JDD.www.map

The description of the data is available in the data batch metadata sheet “Soil Observatory at the Municipal Level of the Region New-Aquitaine for 2013 — Beta Version” referenced below and accessible by the following address after insertion in your search engine:

http://catalogue.geo-ide.developpement-durable.gouv.fr/catalogue/apps/search/?uuid=fr-120066022-ldd-2bd25601-a8bc-4a19-a0b8-7ebf519da483

The geographical area covered by the data available here is the northwest quarter of the Dordogne department: — north of a line running from the commune of Eygurande and Gardedeuil (24165) to the west to the commune of Chavagnac (24117) to the east — west of a line from the commune of Busseroles (24070) to the north to the commune of Eglise Neuve de Vergt (24160) to the south.

When using OSCOM data, it is advisable to refer to the file N_OSCOM2013_TxVectMajic_024.csv. If the rate of vectorisation of the communes studied is low, the relevance of the data should be checked before any conclusion is reached.

The data is also available in WMS and WFS: Warnings — Position on the address, right click, copy the link address and paste into the WMS server connection dialog box, WFS. The use of another method leads to the appearance of parasitic spaces. — Problems with displaying multi polygons via the use of WFS (under resolution) — prefer data download if presence of multi polygons — WFS display of more than 500 objects via the WFS impossible at the moment

WMS address for integration into a GIS from Geoide_Carto: http://data.geo-ide.application.developpement-durable.gouv.fr/WMS/228/OSCOM2013_024_donneesagr?

WFS address for GIS integration (See warning above). http://ogc.geo-ide.developpement-durable.gouv.fr/cartes/mapserv?map=/opt/data/carto/geoide-catalogue/REG072A/JDD.www.map

Foursquare Places is used by top enterprises including Apple, Uber, Samsung, Snap, and Tencent, as well as nearly 200,000 developers and companies globally to build location-based experiences into their software applications. Analysts and insights professionals also use Places to evaluate and anticipate trends of both individual venues and chains across 190 countries and 50 territories. Whether for software development or data analysis, Places provides precise firmographic details such as venue name, address, and category, as well as rich content attributes so that you can build a complete picture of a destination.

The Data Monetization Software market is experiencing robust growth, projected to reach $1884.2 million in 2025. While the precise CAGR isn't provided, considering the rapid adoption of data-driven strategies across sectors like BFSI, retail, and healthcare, a conservative estimate of the Compound Annual Growth Rate (CAGR) between 2025 and 2033 could be around 15-20%. This growth is fueled by several key drivers: increasing data volumes needing effective management, the rising demand for personalized customer experiences, and the growing need for businesses to generate revenue streams from their data assets. Furthermore, advancements in cloud computing, big data analytics, and artificial intelligence are enabling more sophisticated data monetization solutions, fostering market expansion. Key trends include the increasing adoption of cloud-based solutions for scalability and cost-effectiveness, the rise of data marketplaces for easier data exchange and monetization, and a growing focus on data privacy and security regulations which necessitates robust solutions. Despite this positive outlook, market restraints include concerns regarding data security breaches and compliance complexities, as well as the need for organizations to develop robust data governance frameworks. The market is segmented by application (Retail & FMCG, Telco & Utilities, Healthcare, BFSI, and Others) and type (Cloud-based and On-premises), with cloud-based solutions dominating due to their flexibility and accessibility. Leading players in the market are actively innovating and expanding their offerings to meet the evolving needs of diverse industries. The market's growth trajectory suggests a significant opportunity for businesses to leverage their data assets strategically. The diverse applications across multiple sectors indicate the widespread applicability of data monetization software. The competitive landscape shows numerous vendors offering various solutions, creating a dynamic environment where innovation and adaptation are crucial for success. The focus on data privacy and security, while presenting challenges, also presents an opportunity for vendors who can offer robust and compliant solutions. The ongoing digital transformation across industries is expected to further accelerate the demand for sophisticated data monetization software in the coming years, driving continued market expansion.