GSoC/2020/StatusReports/JeanLimaAndrade
Project Overview
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 is to add text annotation support and refactor the codebase to separate image annotation logic from the core of marK, making its codebase more extensible and easy to add new annotation types.
Mentor: Caio Jordão Carvalho
This page is still being written
Milestones
- Refactor marK codebase, separating the image annotation logic from the core
- Status: Doing
- Text Annotation support
- Status: Pending
Work Report
Community Bonding Period
I studied how text annotation work, also improved coding techniques, how mark should work, best practices.
blog posts:
community bonding introduction
Coding Period - First evaluation
In the first coding period I merged pending code to the master branch in !2. This period marK structure changed and so my plans in how to tackle text annotation. See the posts for more explanation.
blog posts:
Coding Period - Second evaluation
Coding Period - Third evaluation
Important Links
You can see my proposal here. For posts of GSoC 2020, check my blog.
About me
Name: Jean Lima Andrade
Invent id: jyeno
IRC Nick: jyeno
Telegram Nick: jyeno