Google Coral

Designed for image classification, object identification, segmentation, and speech processing, the NVIDIA® Jetson Nano Developer Kit is a compact, high-performance single board computer that supports numerous neural networks operating in parallel. This user-friendly platform consumes as little as 5 watts of power. 

The LiveBench implementation of the NVIDIA Jetson Nano allows users to run inference based on different kinds of models (image classification, object detection etc.) on various types of input data like live camera feed, images, videos etc. and monitor live system performance and electrical data.  

This LiveBench showcases the following: 

  1. Access Jupyter notebook and command line interface for development and execution of ML models 
  2. Run inferencing on various types of ML algorithms. 
  3. Verify model accuracy with live data output. 
  4. Model statistics for comparison and benchmarking. 
  5. Monitor real time system electrical data for better understanding of system dynamics. 
  1. Pre-loaded ML models for object detection and image classification. 
  2. Choose input data for inference viz. camera feed, live video and preloaded images. 
  3. Github access for customised testing. 

Resources

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