Beginner score
55/100
Competition workspace
适合已有 Python 与目标检测实践基础、愿意使用 PaddlePaddle/PaddleDetection 的学生或 AI 爱好者。参赛者需要能处理 JPG 图像与 Pascal VOC XML 边界框标注，并训练猴子、熊猫和狼三类目标的检测模型。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
55/100
Learning value
58/100
Estimated effort
10-30 hours
Metric
Official scoring is published on the Ba…
适合已有 Python 与目标检测实践基础、愿意使用 PaddlePaddle/PaddleDetection 的学生或 AI 爱好者。参赛者需要能处理 JPG 图像与 Pascal VOC XML 边界框标注，并训练猴子、熊猫和狼三类目标的检测模型。
Taken from the competition's official page.
Official compute for automated evaluation
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
PaddlePaddle
PaddleDetection
目标检测训练
Pascal VOC XML 标注
Python 推理脚本
模型打包与部署
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是训练精度，还要把模型做成可自动运行的提交包：需上传模型、预测代码及可选环境库，并让后台以指定命令生成 result.json。模型在后台 V100 上连同前处理和后处理都必须达到有效速度门槛，因此需要同时优化推理部署与检测效果。
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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Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.