- Application judges will be selected from both internal members of SelectStar and external advisory members
- Selected 15 applications will be moved on to next round Presentation Interviews
2020.12.09. || Presentation Interviews (with Zoom online meeting) 2020.12.11. || Announcement of Final Teams- Through the Presentation Interviews, final 10 teams will be selected.
2020.12.15~ || Program kickoff meeting 2021.01.00. || Dataset production begins
SelectStar is a startup that collects and labels training data for AI. We started as a team of 6 college friends and now we have more than 60 members. SelectStar is one of the fastest growing AI Data Startup in the industry.
There are so many advantage we get from this program. Here are some of them:
First, publicity by helping research.
SelectStar already became one of the top AI data startup but there are so many people still don't know about us yet. We expect to gain academic publicity through program. That's why we put 'Usage Plan' on application form. Especially, selected research institutes are required submit paper to journals or conferences after conducting research using granted dataset.
Second, to reach out to more future customers
Our clients varies from small startups to large international corporations like LG. Through this program, we expect to reach out to researchers in universities and research institutes that might become our future clients.
Third, most importantly, to make 'open datasets' to establish our international presence as an AI data leader
By contributing to AI field of research, we can establish our presence as AI data leader in the industry. We first planned to make and open datasets by ourselves. And then, one of our colleague came up with a bright idea.
"If we are gonna spend the money to make open datasets anyways, why don't we help researchers/startups and make open datasets at the same time?"
Boom! It all started from here :-)
So, except "1. Cooperate to our Policy of 'aiming for making open datasets'" and "2. Selected team should try the best to make good useage of the dataset for R&D and acknowledge us (hopefully on research papers) according to 'Usage Plan' on their application,"
there are NO STRINGS ATTACHED!!
No hidden fees or payments at all!
(In the case of companies, the quantity of to-be-opened datasets;none, partial or all, will be decided through the negotiation. We understand that opening whole AI training dataset can be critical for your business. But we strongly advise you to open as much as you can.)
Not much. Application form including 'Usage Plan' is only 4~5 pages long. Since this isn't monetary grant program, there is no financial audits at all.
You don't have to write full report on dataset usage either. You can just show us via Zoom or e-mail us about your project's progress. We prefer chatting via e-mail or Zoom calls.
If you are selected for interview, you DO have to prepare for the presentation, though. But keep it short and simple. No fancy graphic designs. We don't want this to turn into a presentation contest. We only want to learn more about you and your idea. You may choose to just talk through the application form for presentation. It is perfectly fine with us if the your form contains everything you want to talk about.
But still, if you are selected as one of final teams, you have to give lots of details on specs and guideline for your dataset. We are gonna bother you a lot asking about details and guidelines of dataset. Because the more we talk about the dataset guidelines, the better output will follow.