Beginner score
78/100
Competition workspace
适合已有 Python 深度学习实践基础、愿意使用 PaddlePaddle 2.0 及以上版本的计算机视觉学习者，尤其是想练习眼底彩照中的病灶检测与像素级分割的人。个人即可报名，无需特定机构或医学从业背景。
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 深度学习实践基础、愿意使用 PaddlePaddle 2.0 及以上版本的计算机视觉学习者，尤其是想练习眼底彩照中的病灶检测与像素级分割的人。个人即可报名，无需特定机构或医学从业背景。
Taken from the competition's official page.
PALM dataset: 800 labeled training and 400 testing fundus images
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
PaddlePaddle 2.0+
眼底图像处理
语义分割
二值掩码生成
Dice 损失与评估
ZIP 文件提交
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点是同时处理两类病灶的“是否存在”判断和像素级分割：病灶形状复杂，且无病灶时也必须为每张测试图像生成全白掩码。提交还必须严格按 Atrophy、detach 文件夹结构、原图名称及 PNG 格式组织结果。
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.