Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
随着科技的不断进步和对智能交通系统需求的增长，车载相机已经成为汽车行业的新焦点。图像处理与目标检测是车载相机的核心技术之一。图像识别通过分析图像，从中提取有用的信息，为自动驾驶汽车提供环境感知能力。它能够识别道路、标志、车辆和行人等不同目标，并据此做出相应决策。目标检测则在图像识别的基础上，进一步精确定位和分类每个目标。它能够检测出目标的位置、大小和形… Official track: 计算机视觉. Sponsor: 安徽建筑大学、安徽大学. Teams entered: 213.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
- 03
Basic computer-vision experience
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
- Jul 2, 2024