Overview
Who this competition fits
Builders comfortable with Chinese algorithm-competition pages hosted by iFlytek.
Read the original official blurb
野生动物个体识别是智慧生态保护、种群监测、行为分析和栖息地评估中的关键基础任务。随着红外相机、巡护设备和野外监测网络的持续建设，保护人员能够长期采集到大量野生动物图像资料，但如何从海量图像中快速、准确地确认个体身份，仍然是生态保护与智能分析中的重要难题。 对于部分具有稳定外观差异的野生动物，例如头部纹理、体侧条纹、斑点分布、毛色块状特征或局部轮廓结构等… Official track: 计算机视觉. Sponsor: 北京林业大学. Teams entered: 133.
Resources
What this competition gives you
Taken from the competition's official page.
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, 2026