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Open Training Data

Apollo provides open training data sets, which include laser point cloud obstacles, traffic light detection and the Road Hackers system. Going forward, Apollo will continue to add additional autonomous driving data.

Open Demonstration Data

Apollo provides Open Demonstration Data, which includes sensor demonstration data, calibration demonstration data, end-to-end data, and EGO localization demonstration data.

In the future, Apollo will offer additional data for on-board modules.

Open Capability

Apollo provides the computing capability and annotation services that match the open data.

  • Docker + GPU Clusters
    Docker + GPU Clusters provide the ability for our cloud computing to match the computing ability locally on vehicle.
  • Integrated Deep Learning Framework
    Integrated Deep Learning Framework merges the PaddlePaddle and Caffe frameworks, providing a complete deep learning solution.
  • Visual Results Analysis
    Visual Results Analysis helps facilitate the debugging and optimization of algorithms.
  • A Professional Annotation Platform
    Visual Results Analysis helps facilitate the debugging and optimization of algorithms.
  • Large Number of Annotators
    The task platform has over 5,000 crowdsourced annotations completed every day. Apollo has more than 200 annotation specialists dedicated to meeting all user requirements.
  • Dual Audit Mechanism
    Through both the machine and manual sampling audits, Apollo ensures the precision of data annotations.

We are committed to empowering all levels of developers through targeted support on the Apollo Open Data Platform. Apollo invites you to join us!

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We are committed to empowering all levels of developers through targeted support on the Apollo Open Data Platform. Apollo invites you to join us!