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.