Latest revision as of 18:12, 18 February 2020

The project

marK is a machine learning dataset annotation tool being developed that will help users annotate multiple types of data for training in supervised classification problems. The objective of the project was to finish the porting to qml but later we decided to improve an already existing repository in Qt Widgets, currently, only images are supported. We are focusing in make the API more stable before supporting text, audio and video annotation.

Mentor

Caio Jordão Carvalho

Work done

Support to:

Images bigger than 1280 X 960
Auto save
Temporary files
Read/write of xml and json documents to/from the disk, also its relating GUI
Navigate list of items with up and down arrow keys

To more details see my blog related posts: season of kde and update about SoK 2020.

Commits can be found here: https://invent.kde.org/kde/mark/commits/newFeatures

What I have learned in SoK

How to write and read xml and json files with Qt framework
How to create shortcuts, actions and menus with Qt Widget
How annotation data tools work
Modern cpp and some best pratices

Contact

Telegram: jyeno
IRC: jyeno
Email: [email protected]

@@ Line 1: / Line 1: @@
 = The project =
-marK is a machine learning dataset annotation tool being developed that will help users annotate multiple types of data for training in supervised classification problems. The project is being developed in Qt Widgets and still only supports images. Currently we are making the API more stable before supporting text, audio and video annotation.
+marK is a machine learning dataset annotation tool being developed that will help users annotate multiple types of data for training in supervised classification problems. The objective of the project was to finish the porting to qml but later we decided to improve an already existing repository in Qt Widgets, currently, only images are supported. We are focusing in make the API more stable before supporting text, audio and video annotation.
 = Mentor =
@@ Line 16: / Line 16: @@
-To more details see my blog related posts: [https://jyeno.home.blog/2020/02/01/season-of-kde/ season of kde] and [https://jyeno.home.blog/2020/02/last-week-of-sok-2020 Last week of SoK 2020].
+To more details see my blog related posts: [https://jyeno.home.blog/2020/02/01/season-of-kde/ season of kde] and [https://jyeno.home.blog/2020/02/update-about-sok-2020 update about SoK 2020].
 Commits can be found here: https://invent.kde.org/kde/mark/commits/newFeatures