24 lines
1.6 KiB
Markdown
24 lines
1.6 KiB
Markdown
<img src="https://raw.githubusercontent.com/V3Det/v3det_resource/main/resource/cover.png" alt="Cover Image" style="width: 820px;">
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## Introduction
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V3Det is a Vast Vocabulary Visual Detection Dataset with accurately annotated more than 13,000 object categories, empowering more comprehensive research in object detection.
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1) Vast Vocabulary：V3Det contains bounding boxes of objects from more than 13,000 categories on real-world images.
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2) Hierarchical Category Organization：V3Det is organized by a hierarchical category tree which annotates the inclusion relationship among categories.
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3) Rich Annotations：V3Det comprises precisely annotated objects in 245k images and professional descriptions of each category written by human experts and chatgpt.
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### Data
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## Citation
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Please cite the following paper when using V3Det
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```
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@misc{wang2023v3det,
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title={V3Det: Vast Vocabulary Visual Detection Dataset},
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author={Jiaqi Wang and Pan Zhang and Tao Chu and Yuhang Cao and Yujie Zhou and Tong Wu and Bin Wang and Conghui He and Dahua Lin},
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year={2023},
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eprint={2304.03752},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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