Startup Aids Annotators of Healthcare Training Data

Deep learning applications are data hungry. The more high-quality labeled data a developer feeds an AI model, the more accurate its inferences. But creating robust datasets is the biggest obstacle for data scientists and developers building machine learning models, says Gaurav Gupta, CEO of TrainingData.io, a member of the NVIDIA Inception virtual accelerator program. The startup has created a web platform to help researchers and companies manage their data labeling workflow and use AI-assisted segmentation tools to improve the quality of their training datasets.