Labeling AI is a deep learning-based technology that automatically labels large amounts of data based on a small amount of pre-labeled data available. Labeling AI is an innovative tool that can save your time.

Auto labeling performs the labeling process of large datasets with minimal human intervention, required only to review the auto labeled data. Here is how it works in 3 simple steps: 1. Labeling Manually - Manually generate 100 labeled data. 2. Training Model - Train an auto labeling AI with the 100 pre-labeled data. Review and correct the results to enhance auto labeling performance. 3. Deploy the best AI - Repeat the previous step to generate 1,000, 10,000, or 100,000 auto-labeled data. Transform your auto labeling AI into an object detection AI model to perform object detection as needed.

Labeling AI offers a variety of options to easily label your data, including bounding and polygon tools.

Trainingset.ai Platform receive your instructions and data via API call, Dashboard form or CSV upload, then your annotators in conjunction with our annotation & smart tools, AI and a Quality Assurance process, will help your annotators to resolve the task accurately in a very short time frame by, for example, annotating, labeling or categorizing your image or point cloud data