Function of ABEJA Platform


This page explains the functions of ABEJA Platform. ABEJA Platform provides functions for each task required for machine learning.


  • Features for storing and retrieving data
  • Data source function allows data input / output via API
  • Cooperation with annotation tool. Create supervised data efficiently


  • GUI can be used to selecting templates, set labels, and export to datasets
  • Supports repetitive templates such as images, audio, video, and text
  • With the review function, work can be shared by roles such as workers and reviewers
  • Supports pre-inference function


  • Manage raw data and annotated data uploaded to the datalake
  • You can also save your own annotated data


  • You can be collectively managed with GUI (Training job, Parameters, and Accuracy results, etc.)
  • Various frameworks can be used
  • Jyupyter Notebook
  • Local Training features
  • Template features

Model / Deploy

  • Model version control
  • Web API Deployment
  • Deploy multiple versions of the API
  • Blue/Green Deployment
  • Edge Device Deployment

Monitoring / Trigger

  • Training log / Web API log
  • API monitoring with metrics
  • Cooperation with input data by trigger function