Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
近年来农业与计算机视觉结合越来越紧密，科研成果层出不穷，但是大多数研究基于的数据集与真实场景获取的图像存在差距。在大田、大棚种植和圈养、散养养殖的实际场景中图像的获取依赖于摄像头，这就导致了图像分辨率低且图像中目标存在远近差异。低分辨率图像导致算法精度变低、泛化能力变差。远近问题一方面使高级视觉算法能有效分析近景目标但对远景目标表现很差；另一方面，在图… Official track: 计算机视觉. Sponsor: 中国农业大学. Teams entered: 85.
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
- Jul 23, 2024