Data is an asset when it is labeled. Data labeling is a hassle for every person/company. Our company is here to take your hassles and give you the freedom to develop your business. We know how to categorize your BIG Data with easy-to-use formulas. We have a dedicated team to handle your data and support your work 24 hours a day, 365 days a year. Order once but never hesitate to get support for a lifetime from us. Data Labeling Catagories:
Video: Video annotation works in a similar way to picture annotation because it also includes adding boundary boxes, polygons, and important points frame by frame. The AI’s vision system can then track the movement of an annotated object in the video. Humans are required to identify and annotate the data when training a computer vision model by underlining all the pixels in an image that include faces, license plates, etc.
Images: Manual processes of data labeling assist computer models in ‘seeing’ specific items, but AI machine vision requires a significant amount of training. Data labelers use software to draw around and label things in an image (such as a human, plant, or animal) so that the system can understand and identify them in the future in an unlabeled image.
Text: It seems to be easy to overlook because we use computers each day for e-mail, texting, and documentation, yet AI struggles to recognize unstructured text data. Training a chatbot for a website, image processing methods used to read labels on packaging, or document/content management systems are all examples of data labeling for text projects. Text tagging includes identifying words or phrases, as well as educating the system to recognize duplicates and paraphrases. This allows the chatbot to react appropriately to a customer’s query or AI file management to accurately search for files holding information on a particular topic.
Voice: Alexa and Siri are very popular among digital voice assistants applications. These real artificial intelligence programs become extremely important in everyday life. Many companies are developing their individual virtual assistants to recognize voice communication so that they can work in their industry. In order to successfully reply to any spoken query or request, they all depend on natural language processing and production. This necessitates transcribing countless hours of audio recordings and transferring the data to the system in order for it to recognize the speaker’s intention and immediately respond. Massive amounts of data are required for machine learning to be used to train AI, which tries to make this challenging.
Data labeling requires a high level of competence and attention to detail. Data labelers must maintain focus and consistency in their job, thus selecting the proper partner is critical. As an established BPO vendor specializing in a variety of services, we offer manual data labeling services to help your machine learning algorithms perform at a higher level. We understand that each company is different and has specific requirements. As a result, we offer customized packages to match any business and organization size, as well as the capacity to easily scale to meet current and future shifting business needs and objectives. Our customers will benefit from our ability to deliver massive amounts of high-quality data in a timely manner across a variety of data formats.