Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
基于人工智能的机器视觉技术，在推动企业实现智能制造，提高良品率及产品竞争力上具有重要价值。 LED瑕疵识别是其生产封装过程中质量控制的重要环节。目前，通过多角度光源技术，可以对20*30mm左右大小的LED灯珠进行成像，并且良次品以及不同瑕疵间具有一定的区分性。如何设计有效算法利用多角度光图像进行LED瑕疵识别，成为落地应用过程中需要突破的关键问题。 Official track: 计算机视觉. Sponsor: 科大讯飞股份有限公司. Teams entered: 459.
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
- Apr 28, 2022