Beginner score
72/100
Competition workspace
适合已有飞桨/PaddlePaddle 工程开发经验、能阅读和修改现有开源训练代码的个人或团队。赛题方向跨度很大：AIGC 数据扩充需要扩散模型、ImageNet/COCO 视觉训练背景；蒸馏题需要 PaddleClas 训练优化经验；论文复现需要 Diffusion/PaddleMIX；CFD 题还需要 PINN、网格和 CFD 工具背景。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
72/100
Learning value
70/100
Estimated effort
6-16 hours
Metric
Official scoring is published on the Op…
适合已有飞桨/PaddlePaddle 工程开发经验、能阅读和修改现有开源训练代码的个人或团队。赛题方向跨度很大：AIGC 数据扩充需要扩散模型、ImageNet/COCO 视觉训练背景；蒸馏题需要 PaddleClas 训练优化经验；论文复现需要 Diffusion/PaddleMIX；CFD 题还需要 PINN、网格和 CFD 工具背景。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
飞桨 PaddlePaddle develop 版本开发
Git 与 Pull Request
RFC 技术方案写作
训练日志与可复现文档
开源代码仓库集成
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是训练出结果，而是要先让 RFC 通过评审，再按已合入的 RFC 开发，并将可验证、带文档和日志的代码以 PR 形式集成进指定飞桨仓库。不同题目还要同时满足明确的精度、速度、论文对齐或 CFD 验证要求；不参加决赛答辩会被视为放弃评奖。
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.
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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.