Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
Info about the related issue (Aim of the project) :The aim of the project is to build neural network which is able to detect objects in frame.
Name: Manish Kumar Gupta
GitHub ID: manishh12
Email ID: manishdid360@gmail.com
Idenitfy yourself: (Mention in which program you are contributing in. Eg. For a JWOC 2022 participant it's, JWOC Participant) GSSOC'24 Contributor
Closes: #734
Describe the add-ons or changes you've made π
The project successfully explored various object detection models and techniques using the Simple Object Detection Dataset. By comparing the performance of different models, valuable insights were gained into their strengths and weaknesses, aiding in informed decision-making for future object detection tasks.
Type of change βοΈ
What sort of change have you made:
[ ] Bug fix (non-breaking change which fixes an issue)
[x] New feature (non-breaking change which adds functionality)
[ ] Code style update (formatting, local variables)
[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
[ ] This change requires a documentation update
Checklist: βοΈ
[x] My code follows the guidelines of this project.
[x] I have performed a self-review of my own code.
[x] I have commented my code, particularly wherever it was hard to understand.
[x] I have made corresponding changes to the documentation.
[x] My changes generate no new warnings.
[x] I have added things that prove my fix is effective or that my feature works.
[ ] Any dependent changes have been merged and published in downstream modules.
Pull Request for DL-Simplified π‘
Issue Title : Simple object Detection
JWOC Participant
) GSSOC'24 ContributorCloses: #734
Describe the add-ons or changes you've made π
The project successfully explored various object detection models and techniques using the Simple Object Detection Dataset. By comparing the performance of different models, valuable insights were gained into their strengths and weaknesses, aiding in informed decision-making for future object detection tasks.
Type of change βοΈ
What sort of change have you made:
Checklist: βοΈ