Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
传统的物体检测模型通常在一个预定义的、封闭的类别集合上进行训练和评估。它们擅长识别和定位在训练数据中出现过的物体，但在面对未知或未见过的物体类别时，性能会急剧下降。然而，在现实世界中，我们经常需要识别和定位模型从未明确学习过的新物体，例如，在智能监控、机器人操作、自动驾驶以及增强现实等应用中，系统需要对环境中出现的各种新奇物品做出反应。 开放世界物体检… Official track: 计算机视觉. Sponsor: 科大讯飞xDatawhale. Teams entered: 67.
Preparation
From registration to a first submission
- 01
Can read Chinese competition pages
- 02
Comfortable submitting a baseline
- 03
Basic computer-vision experience
- 04
Prior competition or project experience recommended
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
- Aug 21, 2025