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COIN is the currently largest dataset for comprehensive instruction video analysis. It contains 11,827 videos of 180 different tasks (i.e., car polishing, make French fries) related to 12 domains (i.e., vehicle, dish).
COIN is a dataset of 11,827 videos with 180 tasks and 46,354 annotated segments, collected from YouTube. It is organized in a hierarchical structure of domain, task and step, and provides benchmarks, evaluation and an...
Mar 7, 2019 · To address these problems, we introduce a large-scale dataset called "COIN" for COmprehensive INstructional video analysis. Organized with a hierarchical structure, the COIN dataset contains 11,827 video...
现在,清华大学和美图开源了教程类行为视频数据集COIN(COmprehensive INstructional video analysis),内含11827条教程类视频,涉及日常生活12个领域里的180个任务的视频内容。 所谓教程类视频,一般都集中在美食、美妆和家装DIY等领域。
OpenDataLab 是一个开放数据平台,专注于为 AI 大模型时代提供高质量的数据集和工具支持。
1 2 11701个结点的划分是 print(np.sum(train_masks)/20) print(np.sum(val_masks)/20) print(np.sum(stopping_masks)/20) print(np.sum(test_mask)) >580 train >1769 valid >3505 stopping >5847 test
Mar 10, 2019 · 本文介绍了 美图公司 社交产品事业群视觉算法组与清华大学自动化系智能视觉实验室合作的一篇论文,双方联合发布了业界最大规模教程类行为数据集 COIN(COmprehensive INstructional video analysis)。 论文标题: COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis