Beginner score
48/100
Competition workspace
适合有飞桨/PaddleMIX 代码开发经验，且能处理图文多模态训练数据的开发者或团队。参赛者需要能围绕 llava_v1_5_mix665k 实现数据分析、过滤、配比或可视化算子，并在 LLaVA1.5 的 SFT 阶段验证效果；页面说明国内及全球开发者均可报名，参赛对象不设限。
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…
适合有飞桨/PaddleMIX 代码开发经验，且能处理图文多模态训练数据的开发者或团队。参赛者需要能围绕 llava_v1_5_mix665k 实现数据分析、过滤、配比或可视化算子，并在 LLaVA1.5 的 SFT 阶段验证效果；页面说明国内及全球开发者均可报名，参赛对象不设限。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
PaddleMIX 开发
多模态数据处理
LLaVA1.5 SFT 训练
Python 数据处理算子开发
GitHub Fork 与 Pull Request
单元测试与技术文档编写
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是提出数据清洗思路，而是将可验证的处理算子做成可被 PaddleMIX 接收的开源贡献：完成模型训练验证、评估结果和日志、单元测试、文档，并通过代码 review 合入主分支。若要在模型上验证数据策略，页面要求具备使用 4 张或 8 张 A100 卡进行 SFT 训练的环境。
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.
Registration is unverified; confirm availability on the official page before investing.
Sign in to save competitions and build your own shortlist.
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.