Bytebridge.io Brings Brand New Data Annotation Service for Machine Learning Industries

Combining AI or machine learning with various industries becomes a mainstreaming trend among high-tech companies, which is widely used in face recognition, autonomous drive, virtual healthcare and other industries. To reach the best effect of machine learning, high-quality of data training is required. Data labeling enables machines to have a better understanding of real world and be more beneficial to business and industries.

However, data annotation is regarded as the most tedious and time-consuming step in the whole machine learning process. A McKinsey article listed data annotation as the most challenging limitations to AI adoption in the industry. ML companies will spend 30% of their budget for data labeling and annotation and they usually choose to outsource data training work to the third parties which are equipped with data labelers to provide high-quality data labeling service.

Traditional Workflow of Data labeling Companies

The reason why AI companies prefer to outsource data annotation service is that it costs loads of time doing repetitive work. Here is the traditional workflow of the current data labeling companies: the outsourcing companies first recruit a group of people and train them to label data as required. Some may again outsource this work to other smaller data labeling companies. Both ways cost lots of money and time unnecessarily. During the labeling period, the quality of data cannot be guaranteed since the employees may label the data incorrectly, and they also need to verify data after labeling, which is, unfortunately, low-efficiency.

High-efficiency and Quality Data for Machine Learning

Bytebridge.io, a data labeling platform, has millions of registered users around the world and provides data annotation services covered several languages like English, Chinese, Korean, Bengali, Vietnamese, Indonesian, Turkish, Filipino, Burmese, Arabic, Spanish. No limit on time and location, Bytebridge.io fits various requirements as customized. Bytebridge.io cuts almost 50% of time and cost of recruitment and training for ML companies.

To guarantee the quality of annotated data, Bytebridge.io introduces a consensus system. When dealing with complex tasks, the task is automatically split to several tiny tasks and a consensus index is set to unify and evaluate the results through consensus algorithm. For example, if 80% results of people’s answer are basically the same, the system will consider they have reached a consensus. If customers demand a higher accuracy of data, a higher index and “multi-round consensus” system will be introduced to improve the accuracy of final data delivery.

Conclusion

“Our goal is to relieve AI companies from the burden of machine learning data preparation and management and accelerate the machine learning development cycle, allowing them to build better AI in a shorter time,” said Brian Cheong, the Founder of Bytebridge.io.

Compared to traditional data annotation service companies, why not choose Bytebridge.io to empower machine learning with a high-quality and low-cost data labeling service and catch up the step of high-speed development of AI?Bytebridge.io is confident to boost the machine learning revolution with its best service.