Prodigy (https://prodi.gy) is a modern annotation tool for collecting training data for machine learning models, developed by the makers of spaCy. Version 1.12 includes a new task routers feature, which we'll dive into in this video. The goal is to explain all the big concepts that will help you write your own bespoke custom task routers for your annotation workflows.
TIMESTAMPS
[00:00] Introduction
[00:58] Routing Tasks
[03:17] Custom Task Router
[06:57] Demo of Behavior
[08:29] Diagram of moving parts
[12:34] Diagram of a caveat
[15:00] Knowing sessions upfront
[19:30] Using the config file instead
[22:35] Selecting random annotators
[23:53] Hashing trick
[27:13] Hashing demo
[29:55] Final tips
PRODIGY
● Website & docs: https://prodi.gy
● Live demo: https://prodi.gy/demo
● Forum: https://support.prodi.gy
THIS VIDEO
● Task Router Docs: https://prodi.gy/docs/task-routing