You can save time and money with deep learning-based data labeling automation.
When a worker labels only the first 100 data, an object recognition AI is created to label 900 data. When 900 automatically labeled data is inspected and corrected, a new object recognition AI is created with 1,000 labeled data that has been verified, and 9,000 data are automatically labeled.
CLICK AI's data labeling automation is a labeling tool with active learning. Active learning is an automatic data preprocessing technique that learns some labeling data and automatically labels the rest of the data. Automated data labeling saves time/cost for object recognition labeling.
CLICK AI's data labeling automation can leverage 2-point bounding capabilities to bound polygon objects more quickly.
Inspectors can more quickly and conveniently modify data to improve data labeling quality.
DSLAB GLOBAL goes beyond traditional crowd sourcing with collaborative AI trainers who collaborate with workers and AI to label data.
Directly label the 100,000 data
Directly examine the 100,000 labeled data
Directly label the first 100 data for labeling 100,000 data
Automatically label 900 data by learning AI from labeled data
Examine only abnormal data out of 900 labeled data and relearn the AI
Artificial intelligence increases the accuracy of decision-making needed for management such as sales / marketing / inventory management / human resource management, and enables unlimited introduction of artificial intelligence for your industry.