Intel® Edge Data Collection#

Streamline video data collection and annotation for AI with Intel® Edge Data Collection, a Python-based containerized microservice.

Overview#

Intel® Edge Data Collection facilitates the collection and annotation of video data. This microservice is essential for preparing data for AI model training, fine-tuning, and conducting statistical analysis. It allows you to review ingested data and perform annotations manually, enhancing data accuracy.

Intel® Edge Data Collection integrates with the Data Store microservice for secure metadata storage and supports data filtering to ensure dataset quality. It also offers remote data backup to local or Azure* storage. You can deploy this microservice with the Intel® Edge Insights System platform to leverage the full potential of this software stack.

How it Works#

You can annotate stored images with the help of Intel® Edge Data Collection. It enables manual annotations through the Computer Vision Annotation Tool (CVAT).

You can export annotations and images in MS-COCO format with automatic data sync intervals or on demand. The following figure shows the high-level architecture diagram of Intel® Edge Data Collection:

Architecture Diagram of Intel® Edge Data Collection#

The high-level architecture diagram of Intel® Edge Data Collection and its components.

Learn More#

  • Follow instructions for getting started with the microservice in the Get Started Guide.

  • Follow step-by-step examples to become familiar with the core functionality of the microservice, in Tutorials.