google-summer-of-code-2019's Introduction

Google Summer of Code - 2019

Certificate

Organization : TensorFlow - [TensorFlow Datasets]

Project Link : https://summerofcode.withgoogle.com/archive/2019/projects/6537043688030208/

Mentors : Marcin Michalski, Etienne Pot, Pierre Ruyssen

Pull Requests

Link to all my PRs : https://github.com/tensorflow/datasets/pulls/ChanchalKumarMaji
- #596 : Add tests for COCO dataset.
- #613 : Add Downsampled ImageNet dataset.
- #628 : Add missing files to setup.py.
- #635 : Multi-Names support for ClassLabel.
- #651 : Improve usability of batch_size in as_dataset function.
- #670 : Add visualization.py to tfds.
- #701 : Read directly from archives on datasets with many records.
- #716 : Add COCO_2017 and COCO_2017_Panoptic datasets.
- #743 : Use pytest-xdist to speed up kokoro tests.
- #874 : Launch S3 to structured datasets.
- #891 : Add missing citations.
- #839 : Add cifar-10.1 dataset.
- #924 : Launch S3 to video datasets.

Reviews

Link to some of the PRs which I reviewed
- #263 : Add mini_imagenet dataset.
- #311 : Add tiered_imagenet dataset.
- #359 : Add AFLW2000-3D dataset.
- #361 : Add Quickdraw Sketch RNN dataset.
- #436 : Add Cartoon Set dataset.
- #439 : Add DiscoFuse dataset.
- #562 : Add CMATERdb dataset.
- #582 : Add yelp_polarity_review dataset.
- #835 : Add Fruits360 dataset.
- #888 : Fix broken link on README.md.
- #928 : Add tiny_imagenet dataset.

Future Work

#677 : Sorted TFrecords writer for beam.
I will continue my work with the TensorFlow team.

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google-summer-of-code-2019's Issues

Some doubts regarding GSoC Proposal

Hello @ChanchalKumarMaji ,
I saw that in the previous year you were selected for "Implement Key Research data in TFDS" for GSoC under Tensorflow. Actually, I'm preparing for the same project this year. I just wanted to ask how did you prepare the timeline for the project? What were the steps you mentioned in the proposal?

Thanks a lot for your help!
(And sorry for creating this issue :) I just couldn't find any other way to contact you.)

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