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  3. 飞桨学习赛:半监督学习目标定位

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Baidu AI StudioGeneral MLBeginnerRegistration unverifiedRegistration unverified

飞桨学习赛:半监督学习目标定位

适合已有深度学习视觉任务基础、愿意使用 PaddlePaddle 2.0 及以上版本的个人参赛者。参赛者需要能处理 ImageNet 图像数据,并训练模型输出目标定位概率图;比赛仅支持个人参赛。

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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

适合已有深度学习视觉任务基础、愿意使用 PaddlePaddle 2.0 及以上版本的个人参赛者。参赛者需要能处理 ImageNet 图像数据,并训练模型输出目标定位概率图;比赛仅支持个人参赛。

Official blurb (unedited)
本次比赛要求选手基于少量有标注数据训练模型,使分类网络具有目标定位能力,实现半监督目标定位任务。 Official tags: 半监督学习. Sign-ups: 86.

What this competition gives you

Taken from the competition's official page.

Data

Training and test image datasets for semi-supervised object localization.

BaselineSelected AI Studio project by btobab.
BaselineSelected AI Studio project by 张牙舞爪.
BaselineOutstanding AI Studio project by 羽小翟.

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+

半监督学习

图像分类网络

目标定位概率图

ImageNet 数据处理

ZIP 结果文件生成

Where the real difficulty shows up

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

核心难点是在训练数据使用范围受限的条件下,用少量像素级标注让分类网络学会目标定位,并提升不同阈值下的定位图质量。提交还必须生成与原图同名的 .jpg 概率图,像素值范围为 0~255,并打包为指定名称的 ZIP 文件。

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
Single GPU
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.