public:gsoc:poormanrekognition2

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Amazon Rekognition is a (paid) service that is able to identify objects, people, text, scenes, and activities in a picture. We want to produce a free alternative.

This is a continuation of a project that has been running the past 2 years: The first year we had a number of students working on this in parallel, which in itself was an experiment - we wanted to see if having several students in parallel try to do their own implementation would be better than just choosing the one we thought would best. Last year we selected only one, continuing on the best project of the first year.

The repository can be found here: https://github.com/npbit/Rekognition

This year the goal would be to extend and build upon the existing software, adding features and fixing existing bugs.

Qualification tasks

- Take a look at this page for more tasks.

Older (but might still be relevant!) links

This is the description to last year's project.

https://medium.com/@amkr/final-work-submission-gsoc19-ccextractor-development-40a2b6c6a946
https://github.com/npbit/Rekognition

https://gitlab.com/drcpmkeyi/poor-man-rekognition

https://medium.com/@sziraqui/not-the-normal-gsoc-journey-d51a6167a3a6

http://fedoskin.org/2019/08/24/gsoc-2019-poor-mans-rekognition/

https://medium.com/@amkr/final-work-submission-gsoc19-ccextractor-development-40a2b6c6a946

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