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  3. 飞桨学习赛:手机行为识别

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Baidu AI StudioComputer VisionBeginnerRegistration unverifiedRegistration unverified

飞桨学习赛:手机行为识别

适合希望用 PaddlePaddle 完成端到端分类项目的个人开发者,以及有 Python 和结构化表格数据处理基础的人。参赛者需要能理解由加速度计、陀螺仪生成的时域和频域特征,并预测手机佩戴者的六类行为。

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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

适合希望用 PaddlePaddle 完成端到端分类项目的个人开发者,以及有 Python 和结构化表格数据处理基础的人。参赛者需要能理解由加速度计、陀螺仪生成的时域和频域特征,并预测手机佩戴者的六类行为。

Official blurb (unedited)
本赛题属于典型的分类问题,要求选手根据智能手机的数据判断手机持有者的行为,旨在加深大家对数据挖掘竞赛的了解和认识,并掌握相关知识技能。 Official tags: 数据挖掘. Sign-ups: 610.

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 PaddlePaddle baseline project
TutorialBaseline video walkthrough
Data

100MB CSV dataset with 8,000 training and 1,100 test records

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+

Python

Pandas CSV 读取

结构化数据分类

惯性传感器特征

submission.zip 打包

Where the real difficulty shows up

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

主要难点是从包含大量时域、频域惯性传感器特征的表格数据中,区分相近的人体活动,并在必须使用 PaddlePaddle 2.0 及以上版本的前提下训练模型。提交还必须同时包含预测结果和原始代码,预测文件需按指定的 ZIP/CSV 格式生成。

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
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.