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  3. PaddleOCR 算法模型挑战赛
OpenAtomGeneral MLIntermediateRegistration unverified

PaddleOCR 算法模型挑战赛

A intermediate general ml competition requiring roughly 12–40 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
12–40 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

适合已有 PaddleOCR / Python 模型开发经验、能训练和优化 OCR 或表格结构识别模型的团队。参赛者需在“OCR 端到端识别任务”和“通用表格识别任务”中任选其一;进入决赛的团队还需要能开源完整训练与推理代码、权重并进行线下答辩。

Read the original official blurb
PaddleOCR 旨在打造一套丰富、领先、且实用的 OCR 工具库,助力开发者训练出更好的模型,并应用落地。作为飞桨开源社区最热门的套件开源项目,PaddleOCR 拥有业界领先的 PP-OCR 模型和多场景通用的表格识别模型,广受众多开发者和用户的认可和使用。本次算法模型挑战赛聚焦通用 OCR 模型,要求开发者以当前飞桨开源模型为基线,不断突破技术瓶颈,研发出更加高效准确的新模型。 Official category: 实战竞技赛. Organizers: 百度时代网络技术(北京)有限公司. Participants: 199.

Preparation

From registration to a first submission

  1. 01

    PaddleOCR 框架

  2. 02

    OCR 检测与识别模型

  3. 03

    表格结构识别

  4. 04

    Python 推理脚本

  5. 05

    OpenVINO 推理优化

  6. 06

    Git 与 AtomGit

Before you commit: 难点不只是提高识别效果,而是在接近基线推理速度的约束下完成模型优化。表格赛题还要求应对复杂表格结构和不均衡数据分布,且评估中“错一个 Token 就算错误”;入围后还要满足代码、权重、数据来源和复现材料的开源要求。

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
OpenAtom
Last checked
Jan 5, 2024

Entry assessment

est.
48

Prepare before joining

Overall fit estimate

Beginner fit48/100
Learning value60/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Source page verifiedMetric confirmedReviewed
Source published
Jan 5, 2024
Source created
Jan 5, 2024
Published on this site
Jul 21, 2026

Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.