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--- |
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license: cc-by-nc-sa-4.0 |
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task_categories: |
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- image-classification |
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size_categories: |
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- 10B<n<100B |
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--- |
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> MovieNet-PS is a dataset for person search in movie data. |
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Check our [GitHub repo](https://github.com/ZhengPeng7/GLCNet) for details. |
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Thanks to [MovieNet](https://movienet.github.io/), which is the source of raw data. |
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## Terms of Use |
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By downloading the dataset, you agree to the following terms: |
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1. You will use the data only for non-commercial research and educational purposes. |
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## Overall Information |
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## Introduction |
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'./Image': Images collected from the MovieNet dataset. |
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'./annotation/Images.mat': 1 * 736,835 struct (736,835 images) |
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Each line describes the pedestrian information of an image, |
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including the image name (imname), the number, and the location |
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of pedestrians appearing (nAppear and box) in this image. |
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'./annotation/pool.mat': test images. |
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'./annotation/test/train_test/Train.mat': 5532 query persons for training. |
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'./annotation/test/train_test/TestG2000-TestG10000.mat': 2900 query persons with gallery size varying from 2000 to 10000 for testing. |
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*Note: The location of each person is stored as (xmin, ymin, width, height), |
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i.e. crop_im = I ( idlocate(2):idlocate(2)+idlocate(4), idlocate(1):idlocate(1)+idlocate(3) ); |
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## Citation |
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``` |
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@article{zheng2021glcnet, |
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title={Global-local context network for person search}, |
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author={Zheng, Peng and Qin, Jie and Yan, Yichao and Liao, Shengcai and Ni, Bingbing and Cheng, Xiaogang and Shao, Ling}, |
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journal={arXiv preprint arXiv:2112.02500}, |
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volume={8}, |
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year={2021} |
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} |
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``` |
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