BigDetection is a large-scale dataset in the field of object detection. BigDetection involves the cleaning and merging of multiple datasets, such as LVIS, OpenImages and Object365. BigDetection contains 600 object categories, 3.4 million training images and 3.6 million object bounding boxes.

Citation

@article{bigdetection2022,
title={BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training},
author={Likun Cai and Zhi Zhang and Yi Zhu and Li Zhang and Mu Li and Xiangyang Xue},
journal={arXiv preprint arXiv:2203.13249},
year={2022}
}