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  3. 飞桨学习赛:PALM眼底彩照中黄斑中央凹定位

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Baidu AI StudioComputer VisionBeginnerRegistration unverifiedRegistration unverified

飞桨学习赛:PALM眼底彩照中黄斑中央凹定位

适合已有计算机视觉基础、能用 PaddlePaddle 2.0 及以上版本训练端到端模型的人,尤其是想练习医学眼底图像中关键点定位与坐标回归的个人开发者。比赛仅支持个人参赛,且面向全社会开放。

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Suggested next step

Decide whether this contest fits your current stage before you sink time into the leaderboard.

Beginner score

78/100

Higher means a safer real starting point for your current stage.

Learning value

72/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

4-12 hours

Use this to check whether the task fits your current time budget.

Metric

Official scoring is published on the Ba…

If you cannot explain this metric clearly yet, you probably still need a bit of prep.

Who this competition fits

适合已有计算机视觉基础、能用 PaddlePaddle 2.0 及以上版本训练端到端模型的人,尤其是想练习医学眼底图像中关键点定位与坐标回归的个人开发者。比赛仅支持个人参赛,且面向全社会开放。

Official blurb (unedited)
ISBI2019 PALM眼科挑战赛赛题再现,提供800张眼底彩照训练数据集, 要求选手训练模型完成图像中黄斑中央凹定位任务。 Official tags: 结构定位. Sign-ups: 113.

What this competition gives you

Taken from the competition's official page.

Data

PALM fundus-image dataset: 800 labeled training and 400 testing images.

Reference paperPaper on macula segmentation and fovea localization.
Reference paperPaper on retinal optic-disc and fovea detection.

Prep before joining

If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.

PaddlePaddle 2.0+

眼底彩照处理

关键点坐标回归

图像坐标系与缩放

CSV 文件生成

AI Studio 提交

Where the real difficulty shows up

The real friction is usually not library usage. It is validation, time allocation, and task framing.

核心难点是在不同分辨率的眼底彩照中精确回归黄斑中央凹的 x、y 坐标,并尽量缩小与专家金标准坐标的欧式距离。提交还必须严格生成指定名称的 CSV,并按 T0001.jpg 至 T0400.jpg 的顺序写入全部测试图像结果。

Read this first

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 Checklist

Your decision

Use these fields to make a quick decision before you dive deeper.

Status
Registration unverified
Registration
Registration unverified
Eligibility
Needs official confirmation
Reward
奖励积分
Compute
Free GPU OK
Official metric
Official scoring is published on the Baidu AI Studio competition page.
Verification
Source page verified

Registration is unverified; confirm availability on the official page before investing.

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Official source

Rules, files, submission details, and the live deadline still come from the official page.

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Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.

Source page verifiedMetric confirmedReviewed
Published on this site
Jul 21, 2026

Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.