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CountingChallenge

Task definiton

  • Count the number of items in the image and overlay masks for the same.
  • Accuracy should be > 95%

Task list

  1. Achieve the task definition using any Non-AI techniques (ex. OpenCV, etc)
  2. Achieve the task definition using any AI techniques

Note

  • All tasks from the Task List are expected to be completed
  • Requirement files are expected to be added.
  • Colab/Kaggle notebooks can be used, but the ipynb file must be added.
  • The dataset is available here.
  • Create a root folder with your name in the git.
  • There has to be 2 folders viz. "AI" and "Non_AI" containing solutions to the respectiv tasks within the above root folder.

Steps to submit the solutions

  • Fork this repository.
  • Push the solution into the folders sepecified.
  • Raise a PR with your name as per resume to this repository from your forked repository.
  • Cleanup unwanted files by putting the path in the .gitignore.
  • No need of including the data files into GIT.
  • Write or provide the training method used for AI training purpose if any.

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