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yolov5

Description

yolov5 website

Ultralytics open-source research into future object detection methods, and incorporates lessons learned and best practices evolved over thousands of hours of training and evolution on anonymized client datasets. All code and models are under active development, and are subject to modification or deletion without notice. Use at your own risk.

Environment Modules

Run module spider yolov5 to find out what environment modules are available for this application.

Environment Variables

  • HPC_YOLOV5_DIR - installation directory
  • HPC_YOLOV5_BIN - executable directory

Citation

If you publish research that uses yolo you have to cite it as follows: https://zenodo.org/records/7347926

Categories

machine_learning