search

girlscript / winter-of-contributing

GirlScript Winter of Contributing is a three-month-long Open-Source Program organized by🧡GirlScript Foundation to create the world's largest multilingual content repository that will be available to everyone.
MIT License
881 stars 1.57k forks source link

Data Science With Python : Local Convolutional Features with Unsupervised Training for Image Retrieval #4386

Open DhruvBajaj01 opened 3 years ago

DhruvBajaj01 commented 3 years ago

Description

Welcome to the 'DSWP' Team, good to see you here

With this issue, readers will get introduced to core information to Local Convolutional Features with Unsupervised Training for Image Retrieval along with sample code completely in an effective way.

To get assigned to this issue, add your serial numbers mentioned in the spreadsheet of "Data Science with Python", the approach one would follow and the choice you prefer (Documentation, Audio, Video). You can go with all three or any number of options you're interested to work on.

If you had referred any resources, add them up in "DS Resources". Similarly, if you had used datasets, include them in "DS Datasets".

Domain: Computer Vision

Mentors Assigned: Dhruv Bajaj / Aishani Singh

Points to Note :

The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.

"Issue Title" and "PR Title should be the same. Include the issue number along with it.

Changes should be made inside the Datascience_With_Python/ directory & Datascience_With_Python branch.

Follow Contributing Guidelines & Code of Conduct before start Contributing.

This issue is only for 'GWOC' contributors of the 'DSWP' domain.

All the best. Enjoy your open source journey ahead. 😎

Domain

Datascience with Python

Type of Contribution

Audio, Video, Documentation

Code of Conduct

github-actions[bot] commented 3 years ago

Hello @DhruvBajaj01,
Thank you for opening an issue. :octocat:
Note - Self-assigns by the original author will be prioritised by mentors manually
To get assigned to this particular issue please use /assign
Check this guide before contributing.

freny24 commented 3 years ago

Name : Freny Reji Serial No : 707 ( Batch 18) Type : Documentation Approach : Explain Image retrieval using Convolutions features with the help of Keras

kishlayaug15 commented 3 years ago

I would like to contribute to this issue. Name: Kishlay Kumar Serial number: 501 Type: Documentation Approach: Explaining Image retieval using CNN , keras , tensorflow.

kishlayaug15 commented 3 years ago

/assign

github-actions[bot] commented 3 years ago

This issue has been assigned to @kishlayaug15! It will become unassigned if it isn't closed within 12 days. A maintainer can also add the pinned label to prevent it from being unassigned.

prathimacode-hub commented 3 years ago

As issue is assigned on FCFS basis, this issue is assigned to @freny24 for documentation.

You can choose audio/video if you would like to. @kishlayaug15

kishlayaug15 commented 3 years ago

I would like to contribute to this issue. Name: Kishlay Kumar Serial number: 501 Type: Audio Approach: Explaining Image retieval using CNN , keras , tensorflow.

kishlayaug15 commented 3 years ago

/assign

github-actions[bot] commented 3 years ago

This issue is already assigned to another contributor! Please find/create a new issue to contribute to. You can safely disregard the failed workflow notification for attempting to self-assign on this issue. ❌

kishlayaug15 commented 3 years ago

@prathimacode-hub can I start working for audio in this issue? Will you allow it ?

prathimacode-hub commented 3 years ago

Issue assigned to @kishlayaug15 for audio contribution

freny24 commented 2 years ago

@prathimacode-hub The mentor has approved my documentation . He had told me to add libraries in requirements folder, I did it. kindly merge it.