Beginner score
48/100
Competition workspace
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。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
48/100
Learning value
60/100
Estimated effort
12-40 hours
Metric
Official scoring is published on the Op…
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。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
PaddleOCR 框架
OCR 检测与识别模型
表格结构识别
Python 推理脚本
OpenVINO 推理优化
Git 与 AtomGit
The real friction is usually not library usage. It is validation, time allocation, and task framing.
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。
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 HabitsUse these fields to make a quick decision before you dive deeper.
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Rules, files, submission details, and the live deadline still come from the official page.
These competitions share a similar domain or difficulty level.
Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.
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.