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  3. 基于文心CV大模型的智慧城市视觉多任务识别

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Baidu AI StudioLLMBeginnerRegistration unverifiedRegistration unverified

基于文心CV大模型的智慧城市视觉多任务识别

适合已有 PaddlePaddle 训练经验,并能处理视觉模型架构表示与多任务预测的开发者。参赛者需要以模型结构编码为输入,预测人脸、人体、车辆和商品等视觉任务上的模型排序;比赛仅支持个人参赛。

Open official pageSign in to saveOpen guide

Suggested next step

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

Beginner score

55/100

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

Learning value

58/100

Measures whether the competition teaches habits you can transfer elsewhere.

Estimated effort

10-30 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 PaddlePaddle 训练经验,并能处理视觉模型架构表示与多任务预测的开发者。参赛者需要以模型结构编码为输入,预测人脸、人体、车辆和商品等视觉任务上的模型排序;比赛仅支持个人参赛。

Official blurb (unedited)
从垂类应用出发,选择了人脸、人体、车辆、商品四个任务来训练视觉模型大一统模型。 Official tags: CV,AutoDL. Sign-ups: 1760.

What this competition gives you

There is a baseline you can run as-is — starting from it is usually far faster than building from scratch.

BaselineForkable official baseline project
TutorialInstructor-led leaderboard video course
Reference paperGP-NAS research paper
Reference paperUFO research paper
BaselineVIMER-UFO GitHub reference implementation

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+

Vision Transformer 架构编码

多任务学习

学习排序

Kendall tau 优化

JSON 文件处理

Where the real difficulty shows up

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

核心难点不是直接训练视觉识别模型,而是从有限的已评估子网样本中学习架构—性能关系,并为大量未见结构同时给出多个任务的整数排序。提交还必须严格按 JSON 格式填写各任务 rank,且最终排名以隐藏的 B 榜为准。

Read this first

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

How to learn feature engineering, validation, and competition workflow without heavy hardware.

No GPU? Pick Competitions That Still Teach You Good Habits

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
CPU only
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.