Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
随着世界各国汽车数量的增加，城市交通状况日益受到人们重视，如何高效地进行交通管理，成为各国政府和有关部门关注的焦点，开发智能交通系统是大势所趋。车牌识别技术是智能交通的重要环节，其中较为典型的应用场景为卡口系统。 卡口系统已被广泛应用于国道、省道、高速公路等应用场景，车牌识别技术结合电子不停车收费系统（ETC）识别车辆，过往车辆通过道口时无须停车，即能… Official track: 多模态技术. Sponsor: 科大讯飞xDatawhale. Teams entered: 364.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
- 03
Basic familiarity with LLM tooling or agent/skill workflows
Before you commit: Task details, eligibility, and scoring rules live mainly on the official iFlytek page and change each season.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- iFlytek Challenge
- Last checked
- Jun 16, 2022