LabelSight Labeling Management Suite

The first step for any successful AI system is data collection. Current AI algorithms require large amounts of labeled data. Data labeling can be a very complex task since most of the times it requires many labelers to work on very large datasets. At Artinets we created a Labeling Management Suite to manage all aspects of labeling process. The suite allows the customer to define a project, upload the dataset, divide the dataset is necessary, create human annotator accounts, assign annotators to the datasets and manage performance of human annotators.

Key Capabilities

  • Dashboard to monitor performance results of human annotators
  • Automatically creating annotator performance reports
  • Supporting datasets to be imported from cloud storages such as Google Drive and Amazon S3

Business Value

  • Reduce IT costs and speed up deployment
  • Get actionable business insights
  • Improving quality, revenue and safety