---
title: Image_and_Video_Advertisements
canonical_url: "https://www.modelscope.cn/datasets/OpenDataLab/Image_and_Video_Advertisements"
md_url: "https://www.modelscope.cn/datasets/OpenDataLab/Image_and_Video_Advertisements.md"
repository: OpenDataLab/Image_and_Video_Advertisements
last_updated: 2025-02-27
license: "[Unknown]"
storage_size: "215 MB"
domain:
  - publishDate
  - publishUrl
  - paperUrl
  - mediaTypes
  - displayName
  - labelTypes
  - publisher
  - taskTypes
tasks:
  - 2017
  - "http://people.cs.pitt.edu/~kovashka/ads/"
  - "https://arxiv.org/pdf/1707.03067v1.pdf"
  - Image
  - "Image and Video Advertisements"
  - "Multi-label Classification"
  - "University of Pittsburgh"
  - "Video Classification"
downloads: 187
stars: 0
---

# Image_and_Video_Advertisements

> Image_and_Video_Advertisements - OpenDataLab 在 ModelScope 开源的数据集。displayName: Image and Video Advertisements labelTypes: Multi-label Classification license: Unknown mediaTypes: Video Image paperUrl: https://arxiv.org/pdf/1707.03067v1.pdf publishDate: "2017"…

OpenDataLab/Image_and_Video_Advertisements 是 ModelScope 魔搭社区上的2017、http://people.cs.pitt.edu/~kovashka/ads/、https://arxiv.org/pdf/1707.03067v1.pdf数据集，涉及 publishDate、publishUrl、paperUrl 领域，存储大小 215 MB，采用 [Unknown] 许可。

- **Repository**: OpenDataLab/Image_and_Video_Advertisements
- **License**: [Unknown]
- **Tasks**: 2017, http://people.cs.pitt.edu/~kovashka/ads/, https://arxiv.org/pdf/1707.03067v1.pdf, Image, Image and Video Advertisements, Multi-label Classification, University of Pittsburgh, Video Classification
- **Domain**: publishDate, publishUrl, paperUrl, mediaTypes, displayName, labelTypes, publisher, taskTypes
- **Storage size**: 215 MB
- **Downloads**: 187
- **Stars**: 0
- **Last updated**: 2025-02-27

Source: https://www.modelscope.cn/datasets/OpenDataLab/Image_and_Video_Advertisements

---

displayName: Image and Video Advertisements
labelTypes:
- Multi-label Classification
license:
- Unknown
mediaTypes:
- Video
- Image
paperUrl: https://arxiv.org/pdf/1707.03067v1.pdf
publishDate: "2017"
publishUrl: http://people.cs.pitt.edu/~kovashka/ads/
publisher:
- University of Pittsburgh
tags:
- People
- Question
- Answering
- Advertisements
- Fries
taskTypes:
- Image Classification
- Video Classification

---
# 数据集介绍
  ## 简介
  图像和视频广告集合由 64,832 个图像广告的图像数据集和 3,477 个广告的视频数据集组成。数据包含丰富的注释，包括广告的主题和情绪、问题和答案，描述了提示观众采取的行动以及广告为说服观众而呈现的推理（“我应该根据这个广告做什么，以及为什么我应该这样做吗？”），以及广告中的象征性参考（例如鸽子象征和平）。
  ## 引文
  ```
 @inproceedings{hussain2017automatic,
 title={Automatic understanding of image and video advertisements},
 author={Hussain, Zaeem and Zhang, Mingda and Zhang, Xiaozhong and Ye, Keren and Thomas, Christopher and Agha, Zuha and Ong, Nathan and Kovashka, Adriana},
 booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
 pages={1705--1715},
 year={2017}
 }
 ```
  
## Download dataset
:modelscope-code[]{type="git"}