[background]
hello everyone! 😀Welcome to the monthly Dacon Car Crash Analysis AI Contest.
Recently, various studies have been conducted to prevent accidents on the road using black boxes.
Accordingly, in recent years, the black box has been developing in the direction of adding an artificial intelligence function that judges a dangerous situation on its own and responds in real-time.
It is expected to be helpful in reducing the occurrence and scale of traffic accidents and developing improved traffic safety technology!
As part of this technological development, in this monthly Dacon, we need to create an AI model that analyzes car crashes from black box footage.
Actively utilize AI technology in computer vision to solve problems!
This monthly Dacon is a recruitment-linked event, and talents with excellent problem-solving skills are recommended to startups.
[subject]
Development of AI algorithm for car crash analysis of black box video
[explanation]
10 frames, 5 seconds of black box videos (mp4) are received as input and the car crash situation is analyzed,
We need to develop an AI model that classifies these into 13 classes.
This competition is held as an individual competition and is a recruitment-linked competition.
After the competition, Dacon verifies the final code and solution materials and recommends top-ranked participants to Korea Startup Forum member startups.
[Organizer / Organizer]
Korea Startup Forum / Dacon
[Target to participate]
Anyone who is a daker
Prize :
채용
