Introduction
Analysts from the industry are anticipating a rise in demand for data preparation. For example, Cognilytica predicts that the global data-preparation market will increase from $500 million to $1.2 Billion by 2023. One of the most important data preparation jobs that is expected to rise in the coming years is image labeling. This allows for the creation of training and testing data sets to support object or image recognition models.
What Drives Image/Data Labeling Demand?
The main reason for the rapid growth of the Image Annotation market is due to the adoption of artificial intelligence (AI). Accenture calls AI the "savior" for businesses that cannot sustain growth using their existing labor force and capital. AI technology can nearly double growth rates for companies that are currently sustaining their current production levels. Accenture examined U.S. business before and after the deployment of AI-based technology and found that there was an average growth rate of 2.6 to 4.6 percentage. The capabilities of AI systems that allow for this growth include intelligent automation and labor force capability augmentation. They also open doors to innovation.
A wide variety of applications are available for AI/computer vision in many industries. It can be used to track and trace assets and products efficiently, saving time. AI can be used to improve quality control. AI can also be used to improve quality control.
Computer Vision Systems: Image/Data Labeling
You must train the model in recognition of images and objects to develop an AI machine vision system that will produce desired outcomes. The machine vision system's camera is able to "see" but it cannot interpret what it is seeing or trigger action without being trained.
A training data set of images labeled with images helps machine vision systems recognize images. A data labeler is responsible for collecting relevant images such as photos and video of products that are being transported on a conveyor. The Data Labeling tool is used to create bounding boxes around particular images and to annotate them in a way that a machine can understand. The data labeler can then draw bounding boxes to specific parts of correctly assembled products. The training data allows the AI machine vision model, which can recognize correctly assembled products, to improve quality control. The system that leverages AI technology might also be capable of alerting an operator when a substandard product passes or triggering actions to halt production to minimize the waste.
Why Companies Outsource Image or Data Labeling
It is essential to train machine vision systems with representative images labeled accurately. An AI system that doesn't have a solid data base to train it won't produce reliable results in real life. Data labelers must ensure the model produces acceptable results by annotating sufficient images. This does not mean that you have to label dozens, hundreds or even thousands of images in order for the data set to be created. It can take over a million images for complex systems to get the desired results. This is often more work than a company can handle in-house.
There are many reasons to outsource services form Data Labeling Company, such as the burden associated with annotation . Outsourcing data labeling is not only a good idea, but there are also other compelling reasons.
Quality - Experienced data-labelers are more likely than others to create a data set that is accurate and real-world.
Speed - A data labeling company has the tools and resources needed to complete a project faster than a single employee who is trying to label images, as well as take care of their other jobs. Faster data preparation means faster machine learning system deployment.
No bias - The use of a third-party for data labeling ensures that data labels aren't influenced or shaped by preconceived notions about how the machine learning system should work.
The data labeling services offer a clear ROI. Companies get a higher-quality data set in a shorter time, helping them to get their AI Machine Vision project up and running faster -- at a much lower cost than if the work was done in-house.
What's the Future Holding?
For many companies that wish to remain competitive, intelligent automation and innovation powered with AI will be a standard capability. Data Labeling Company services are an essential component in the implementation of machine vision systems that reliably and accurately work. Are you available to assist in making it happen?
Quality Data Labeling With GTS
We at Global Technology Solutions (GTS) provide all kinds of data collection such as Image Data collection, Video data collection, Speech Data collection, and text dataset along with audio transcription and Data Annotation Services. Do you intend to outsource image dataset tasks? Then get in touch with Global Technology Solutions, your one-stop shop for AI data gathering and annotation services for your AI and ML.
