Beginner score
72/100
Competition workspace
适合已有计算机视觉与图像编码基础、能在昇腾310 NPU上开发和优化代码的开发者或小团队。尤其适合处理遥感影像、原始多位深图像，或有神经网络压缩/传统压缩与AI混合方案经验的人。
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…
适合已有计算机视觉与图像编码基础、能在昇腾310 NPU上开发和优化代码的开发者或小团队。尤其适合处理遥感影像、原始多位深图像，或有神经网络压缩/传统压缩与AI混合方案经验的人。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
昇腾310 NPU开发
多位深图像处理
图像压缩编码
Python或C++
模型量化配置
PSNR与SSIM评测
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是提高压缩质量，而是在指定NPU算力和测试集上同时满足压缩比、图像质量与压缩速率目标。提交还必须包含可运行的昇腾310适配代码、预训练模型、量化配置，以及展示实时压缩效果的演示视频；且不能直接调用现成压缩库。
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 ChecklistUse 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.