Closed Arihant-Bhandari closed 3 months ago
Is it kind of an enhancement of the existing project? @Arihant-Bhandari Because I have seen this project is already present in this repo, https://github.com/abhisheks008/DL-Simplified/tree/main/Colour%20Detection%20using%20DL
Yes @abhisheks008 it would be an enhancement to the existing project. I thought of it as an experimental approach , seeing that the validation and training accuracy were both getting capped at 90%.
If I can enhance the existing project I will start a PR, and if I couldn't , I will close this issue.
The existing code is well written so I didn't want to intrude on the original , and hence am suggesting a new file with my code so that you can compare and decide what to keep , maybe even both.
You can go ahead with it. Issue assigned to you @Arihant-Bhandari
I have updated the issue title for better understanding, please make sure that the issue title will remain same as the pull request title.
@abhisheks008 hi please take a look at the PR, i have tried making things in order as the PR template suggested, if there are edits to be made, or changes that need to be done, or any suggestions, i would be more than glad to work on them. thank you for your time reviewing this.
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Colour Detection using DL :red_circle: Aim : trying out a new custom CNN for the project :red_circle: Dataset : :red_circle: Approach : will try out creating a new custom built CNN model beac use i noticed how both train and val accuracy were bound at 0.9 accuracy. if the work ends up satisfactory i will be issuing a PR for the same, and if not, close this issue. I wiill be creating a new colour_detection.ipynb file so as to not affect the original copy of the code since it is a great implementation, and if need be changes can be transported over to the file on the PA end.
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