Beginner score
78/100
Competition workspace
适合已有 Python 与 PaddlePaddle 使用经验、想练习医学影像语义分割的个人开发者。需要能够处理 2D 眼底彩照，并按指定像素值生成视盘、视杯和背景掩码；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 使用经验、想练习医学影像语义分割的个人开发者。需要能够处理 2D 眼底彩照，并按指定像素值生成视盘、视杯和背景掩码；比赛仅支持个人参赛。
Taken from the competition's official page.
200 fundus color images with training masks and test pairs
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
多类别掩码编码
GPU Notebook训练
The real friction is usually not library usage. It is validation, time allocation, and task framing.
核心难点是在仅有 100 对训练样本的条件下，把边界相邻的视盘与视杯稳定分割开，并生成完全符合规定像素编码的预测图。提交还必须包含预测结果和原始代码，且模型须用 PaddlePaddle 2.0 及以上版本端到端实现。
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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Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.