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Count the number of items in the image and overlay masks for the same.
Accuracy should be > 95%
Achieve the task definition using any Non-AI techniques (ex. OpenCV, etc)
Achieve the task definition using any AI techniques
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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