- Report
- April 2022
- 101 Pages
Global
From €4808EUR$4,950USD£4,107GBP
- Report
- July 2022
- 111 Pages
Japan
From €1748EUR$1,800USD£1,494GBP
- Report
- July 2022
- 198 Pages
Global
From €4128EUR$4,250USD£3,526GBP
- Report
- April 2024
- 175 Pages
From €3885EUR$4,000USD£3,319GBP
- Report
- March 2020
- 173 Pages
Global
From €3093EUR$3,185USD£2,643GBP
€4419EUR$4,550USD£3,775GBP
- Report
- June 2021
- 228 Pages
Global
From €3496EUR$3,600USD£2,987GBP
- Report
- June 2021
- 88 Pages
Asia Pacific
From €1457EUR$1,500USD£1,245GBP
- Report
- June 2021
- 88 Pages
Europe
From €1457EUR$1,500USD£1,245GBP
- Report
- June 2021
- 88 Pages
Middle East, Africa
From €1457EUR$1,500USD£1,245GBP
- Report
- June 2021
- 78 Pages
North America
From €1457EUR$1,500USD£1,245GBP
- Database
- July 2023
Global
From €350EUR$360USD£299GBP
- Report
- August 2021
- 250 Pages
Global
From €5992EUR$6,169USD£5,119GBP
- Book
- July 2024
- 304 Pages
- Book
- April 2019
- 376 Pages
Data Annotation is a process of labeling data for storage and management. It involves assigning labels to data points, such as images, text, audio, and video, to make them easier to search and analyze. This process is used to improve the accuracy of machine learning algorithms and to make data more accessible to humans. Data Annotation is used in a variety of industries, including healthcare, finance, and retail.
Data Annotation is a growing market, with many companies offering services to help organizations manage their data. Companies such as Appen, Lionbridge, and Figure Eight specialize in providing data annotation services, while others such as Amazon Web Services and Google Cloud Platform offer cloud-based data annotation solutions. Other companies, such as CloudFactory and Scale, provide a platform for crowdsourcing data annotation tasks. Show Less Read more