Data Annotation / Labelling / Tagging / Classification Service
Data labeling is used to create large volumes of annotated data like pictures or images that can be used to train machines and make them functional for AI-based models. Systems need to understand what is shown on a photograph, said in a voice recording, or written in a text, among many other things. By labeling all this data, machines can improve their learning and AI keeps evolving. It concerns speech recognition on our smartphones, autonomous driving, parking systems and many other technologies.
Compare Data Annotation / Labelling / Tagging / Classification Services
AIMultiple is data driven. Evaluate 30 services based on comprehensive, transparent and objective AIMultiple scores. For any of our scores, click the icon to learn how it is calculated based on objective data.
Figure Eight combines the best of human and machine intelligence to provide high-quality annotated training data
Transform the way your business operates using Hive's powerful, deep-learning visual recognition models and training data platform.
Playment offers a fully-managed data labeling solution to build highly accurate training datasets for computer vision models
Amazon Mechanical Turk
Searches with brand name
These are the number of queries on search engines which include the brand name of the service. Compared to other service based solutions, Data annotation / labelling / tagging / classification Service is more concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 100% (22% more than average) of search queries in this area.
Data annotation / labelling / tagging / classification Service is a highly concentrated solution category in terms of web traffic. Top 3 companies receive 100% (22% more than average solution category) of the online visitors on Data annotation / labelling / tagging / classification Service company websites.
Number of Employees
Median number of employees that provide Data annotation / labelling / tagging / classification Service is 219 which is 159
more than the median number of employees for the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 6 companies (42 less than average solution category) with >10 employees are offering Data annotation / labelling / tagging / classification Service. Top 3 products are developed by companies with a total of 501-1,000 employees. However, all of these top 3 companies have multiple products so only a portion of this workforce is actually working on these top 3 products.