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  3. 飞桨学习赛:黄斑中央凹定位(GAMMA挑战赛任务二)

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Baidu AI StudioGeneral MLBeginnerRegistration unverifiedRegistration unverified

飞桨学习赛:黄斑中央凹定位(GAMMA挑战赛任务二)

适合已有计算机视觉与2D医学图像经验、想用飞桨完成眼底图像关键点定位的个人开发者。参赛者需要能够用 PaddlePaddle 2.0 及以上版本训练端到端深度学习模型,并提交预测结果和原始代码。

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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与2D医学图像经验、想用飞桨完成眼底图像关键点定位的个人开发者。参赛者需要能够用 PaddlePaddle 2.0 及以上版本训练端到端深度学习模型,并提交预测结果和原始代码。

Official blurb (unedited)
2021 MICCAI Contest GAMMA挑战赛任务二:黄斑中央凹定位。 Official tags: 目标定位. Sign-ups: 290.

What this competition gives you

Taken from the competition's official page.

Data

200 paired fundus and OCT images, with 100 training and 100 test pairs

TutorialBaseline teaching video
BaselineShowcased AI Studio baseline project by 学霸霸Zidane
BaselineShowcased AI Studio baseline project by 笠雨聆月
Reference paperREFUGE challenge review paper
Reference paperAGE challenge review paper
Reference paperMacula segmentation and fovea localization paper
Reference paperOptic-disc detection and fovea-localization paper

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+

2D眼底图像处理

关键点坐标回归

小样本深度学习

图像数据增强

AI Studio Notebook

Where the real difficulty shows up

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

训练数据规模很小,页面明确说明仅有100个训练样本,因此需要在有限标注下训练出稳定的坐标定位模型。模型还要区分“中央凹不可见”这一情况,并输出指定的(0, 0)坐标,而不只是对可见目标做常规回归。

Read this first

This guide is the best pre-read if you want a cleaner start instead of trial-and-error.

A simple framework for choosing a competition that teaches instead of overwhelming you.

How to Choose Your First AI Competition

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.