djghosh/wds_objectnet_test
收藏Hugging Face2022-12-12 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/djghosh/wds_objectnet_test
下载链接
链接失效反馈官方服务：
资源简介：
ObjectNet是一个大规模、偏差受控的数据集，旨在推动物体识别模型的极限。该数据集仅包含测试集。
# ObjectNet（仅测试集）
原始论文：[ObjectNet: 用于拓展目标识别模型边界的大规模偏差可控数据集](https://objectnet.dev/objectnet-a-large-scale-bias-controlled-dataset-for-pushing-the-limits-of-object-recognition-models.pdf)
官方主页：https://objectnet.dev/
Bibtex引用：
@inproceedings{NEURIPS2019_97af07a1,
author = {Barbu, Andrei and Mayo, David and Alverio, Julian and Luo, William and Wang, Christopher and Gutfreund, Dan and Tenenbaum, Josh and Katz, Boris},
booktitle = {《神经信息处理系统进展》},
editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d'Alché-Buc and E. Fox and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {ObjectNet: 用于拓展目标识别模型边界的大规模偏差可控数据集},
url = {https://proceedings.neurips.cc/paper/2019/file/97af07a14cacba681feacf3012730892-Paper.pdf},
volume = {32},
year = {2019}
}
提供机构：
djghosh
原始信息汇总
ObjectNet (Test set only)
数据集概述
- 名称: ObjectNet
- 类型: 大型偏差控制数据集
- 目的: 推动对象识别模型极限
- 出版物:
- 标题: ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
- 出版年份: 2019
- 会议: Advances in Neural Information Processing Systems
- 链接: ObjectNet论文
数据集详情
- 作者: Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Josh Tenenbaum, Boris Katz
- 编辑: H. Wallach, H. Larochelle, A. Beygelzimer, F. dAlché-Buc, E. Fox, R. Garnett
- 出版商: Curran Associates, Inc.
- 卷: 32
