V-COCO数据集_数据集

V-COCO数据集简介

数据集介绍：

V-COCO是一个基于 COCO 的数据集，用于人机交互检测。 V-COCO 提供 10,346 张图像（2,533 张用于训练，2,867 张用于验证，4,946 张用于测试）和 16,199 个人物实例。每个人都有 29 个动作类别的注释，并且没有包括对象在内的交互标签。

Citing

If you find this dataset or code base useful in your research, please consider citing the following papers:

@article{gupta2015visual,

title={Visual Semantic Role Labeling},

author={Gupta, Saurabh and Malik, Jitendra},

journal={arXiv preprint arXiv:1505.04474},

year={2015}

}

@incollection{lin2014microsoft,

title={Microsoft COCO: Common objects in context},

author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{'a}r, Piotr and Zitnick, C Lawrence},

booktitle={Computer Vision--ECCV 2014},

pages={740--755},

year={2014},

publisher={Springer}

}

Verbs in COCO (V-COCO) is a dataset that builds off COCO for human-object interaction detection. V-COCO provides 10,346 images (2,533 for training, 2,867 for validating and 4,946 for testing) and 16,199 person instances. Each person has annotations for 29 action categories and there are no interaction labels including objects.

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Verbs in COCO

Hooks for VCOCO. Contribute to s-gupta/v-coco development by creating an account on GitHub.

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