Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
随着计算机技术的发展，农业开始步入智能化领域。在农业智能化过程中，作物的表型信息数字化监测尤为重要。对作物进行深度测量、辅助于作物3D重建、进而进行表型信息收集是一种常用的监测方法。如今，农场大部分采用摄像头、手机等普通设备采集彩色图像，缺乏深度信息采集的设备与条件，难以支持对农作物直接的深度测量。因此，利用农作物彩色图像，逐像素点进行深度预测，对实现… Official track: 计算机视觉. Sponsor: 中国农业大学. Teams entered: 108.
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
- Jun 29, 2024