Beginner score
78/100
Competition workspace
适合已有 Python 与 PaddlePaddle 2.0+ 使用经验、想练习医学图像语义分割的个人开发者。参赛者需要能处理眼底彩照，并生成与原图对应的像素级视盘掩码；比赛仅支持个人参赛。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
78/100
Learning value
72/100
Estimated effort
4-12 hours
Metric
Official scoring is published on the Ba…
适合已有 Python 与 PaddlePaddle 2.0+ 使用经验、想练习医学图像语义分割的个人开发者。参赛者需要能处理眼底彩照，并生成与原图对应的像素级视盘掩码；比赛仅支持个人参赛。
Taken from the competition's official page.
800 labelled training fundus photographs and 400 labelled test photographs.
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
PaddlePaddle 2.0+
医学图像语义分割
眼底彩照处理
像素级掩码标注
PNG结果文件生成
ZIP文件提交
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点在于同时做好视盘是否存在的检测和视盘区域的像素级分割：视盘不完整或缺失时必须输出全背景，而最终结果综合两项任务。还必须严格按原图名称生成指定像素值的 PNG 掩码并打包提交。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
A pre-flight checklist for image competitions when you only have free cloud GPU access.
Your First CV Baseline ChecklistUse these fields to make a quick decision before you dive deeper.
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Rules, files, submission details, and the live deadline still come from the official page.
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Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.