Beginner score
55/100
Competition workspace
适合做过视频理解或多模态内容分析、能够结合视频标题与带时间戳的OCR字幕进行文本生成的人。也适合熟悉结构化预测输出、能按指定JSONL格式整理每个视频看点及起始位置的参赛者。
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…
适合做过视频理解或多模态内容分析、能够结合视频标题与带时间戳的OCR字幕进行文本生成的人。也适合熟悉结构化预测输出、能按指定JSONL格式整理每个视频看点及起始位置的参赛者。
Taken from the competition's official page.
Videos, video titles, and OCR-extracted subtitles
Baseline model for reference and improvement
Technical discussion group for participant communication
Organiser staff provide regular group Q&A
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
视频内容理解
OCR字幕处理
时间序列定位
文本摘要生成
JSONL文件生成
ROUGE评测
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点在于同时完成“找全并定位看点”和“为每个看点写出合适摘要”：起始位置与摘要分别评测，且字幕时间以帧数给出、需要对应到视频时间。提交还必须严格保持测试集URL顺序，并将同一视频的看点按出现先后排序。
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 Baidu AI Studio competition listing; verify scoring on the competition page.