What exactly is Data Annotation?
In order to train a machine to behave just like humans, it is necessary to provide it with the data of the relevant data. The process of capturing and encode the information to make it easier for a machine to understand is known as data annotation. By this method, the data captured is transformed into machine-readable language using algorithms.
Image Annotation
Images are used as data to develop a program that can respond to its contents to meet the required objectives.
Video Annotation
Video footage is used as annotated data that can be used to create a machine and receive the necessary responses.
Text Annotation
Machines can be taught to give meaning and clarify the meaning and context of textual information, by noting it with appropriate language.
Use of Data Annotation
As AI is increasingly used, the use of AI to speed up operational processes and data annotation, it has increased in importance with time. Since technology is increasingly being favored over human expertise when it comes to tasks that are routine nature, it will decrease the risk of human error. Data Annotation Services is extensively employed in:
- Industrial Robots Artificial intelligences that use data labeling have significantly improved efficiency in industrial processes, specifically manufacturing. They are used for the detection of defects as well as the random sorting process, in intelligent handling security of networks, surveillance and many more. Annotation has decreased human errors and has improved quality assurance in industries.
- healthcare: If the Innovation of AI has benefitted any industry then it's medicine and health. Research and development has also benefited from the development AI. Diagnostics, general surgeries cosmetic procedures, medicinal studies, as well as biotechnology are making use of data annotation.
- Flying object that is unmanned Autonomous drones, aircrafts and various other widely used flying objects controlled by AI use data annotation in order to establish goals for flight. Data labeling assists in the definition of processes and establish objectives.
- Automated Driving Training institutes in motor and machines use Dataset For Machine Learning in order to provide instruction on driving.
- Industry of retail: Vision-based inspections, inventory management, quality control and eCommerce use data annotation. Retail is creating gaps in marketing, sales and production with AI.
- Security A lot of data annotations are utilized by us in a variety of monitoring and security systems. It aids in identifying criminals or lawbreakers and other suspect actions, as well as authentication of identity and entry-exit checks.
- Agriculture Farmer's labor is significantly decreased through the usage of yield-based annotations. It helps with controlling pests, irrigation as well as quality checks and stopping animals from trespassing. Its use in the field of AI farming equipment led to increased yields and improved returns for farmers.
- Space Photography: Cyclone predictions and other types of weather reports are much easier with the help by data labels. Also, calculations of astronomy made using space imagery are typically the responsibility of computer programs that feed into AI systems via labeling of data in a structured way.
Benefits of in-house data Annotation
The popularity of data annotation can be attributed by the the efficient application of this technology can greatly improve the effectiveness of a trade. However, the introduction of AI and data labeling has the potential to create the creation of a whole department, which includes technology, infrastructure and finance. Let's examine both the negative and positive side of the in-house annotation of data.
Pros
- Data security is assured since it is not shared with any other third party
- Improved Control over Process
- Control of costing
Outsourcing Annotation Services With GTS
Global Technology Solutions (GTS) provides comprehensive computer vision solutions by giving Dataset For Machine Learning along with Data Annotation, Video Dataset and Audio Transcription Services to diverse industries including security and surveillance industrial, transportation smart cities, pharmaceuticals, and consumer electronics through the entire lifecycle of a model, including algorithm selection, learning and validation, through inferencing, deployment and maintenance.
