Long overdue, but finally here: the revamp of our data-mining.co.nz website is now finally done!

With a refreshed look, better navigation and more information than ever.

Docker images for the latest Yolov10 code base are now available.

The code used by the docker images is available from here:

github.com/waikato-datamining/pytorch/tree/master/yolov10

The tags for the images are as follows:

• In-house registry:

  • public.aml-repo.cms.waikato.ac.nz:443/pytorch/pytorch-yolov10:2024-06-23_cuda11.7

  • public.aml-repo.cms.waikato.ac.nz:443/pytorch/pytorch-yolov5:2022-11-05_cpu

• Docker hub:

  • waikatodatamining/pytorch-yolov10:2024-06-23_cuda11.7

  • waikatodatamining/pytorch-yolov5:2022-11-05_cpu

The tutorial on object detection is available from here:

www.data-mining.co.nz/applied-deep-learning/object_detection/yolov10/

Today marks the first public release of our audio-dataset-converter library and it various additional dependent libraries. Just like image-dataset-converter, it has its origins in the wai.annotations library.

Of course, there is also a meta-library that combines all the libraries: audio-dataset-converter-all

Check out the examples site:

https://waikato-llm.github.io/audio-dataset-converter-examples/