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DAQUAR 真实世界图像问答数据集

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Date

3 年前

Size

414.12 MB

Organization

Publish URL

www.mpi-inf.mpg.de

Paper URL

arxiv.org

Tags

目标检测
Featured Image

DAQUAR，全称 DAtaset for QUestion Answering on Real-world images，是一个关于图像的人类问答的数据集。该数据集的图像来自于 NYU-Depth v2 数据集，都是关于室内场景的 RGBD 图像，其中 795 张用于训练，654 张用于测试。 DAQUAR 中的 question/answer pairs 主要有两种类型：自动生成的和人工标注的。

DAQUAR.torrent
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  • DAQUAR/
    • README.md
      1.2 KB
    • README.txt
      2.4 KB
      • data/
          • Consensus data on DAQUAR/
            • human_answers-consensus
              827.56 KB
          • DAQUAR builds upon NYU Depth v2 by N. Silberman et.al./
            • nyu_depth_images.tar
              411.98 MB
          • Full DAQUAR (all classes)/
            • qa.894.raw.test.txt
              412.32 MB
            • qa.894.raw.train.txt
              412.72 MB
            • qa.894.raw.txt
              413.46 MB
            • test.txt
              413.46 MB
            • train.txt
              413.47 MB
          • Metrics measuring performance/
            • calculate_wups.py
              413.48 MB
            • compute_consensus.py
              413.48 MB
            • gt_questions.txt
              413.48 MB
            • pred_answers.txt
              413.48 MB
          • Reduced DAQUAR (37 classes and 25 test images)/
            • qa.37.raw.reduced.test.txt
              413.5 MB
            • qa.37.raw.train.txt
              413.72 MB
            • qa.37.raw.txt
              414.12 MB
            • sampled_test_names.txt
              414.12 MB

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DAQUAR 真实世界图像问答数据集 | Datasets | HyperAI超神经