ComputeHeavy/billboards-signs-and-branding
收藏Hugging Face2022-08-11 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/ComputeHeavy/billboards-signs-and-branding
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资源简介:
---
license: cc-by-nc-sa-4.0
---
**The original dataset is accepting contributions and annotation at https://mekabytes.com/dataset/info/billboards-signs-and-branding :)**
The goal of this dataset is to be able to recognize billboards and popular corporate logos so they can be hidden in photos, and in the future so that they can be hidden using augmented reality.
We are settling on a maximalist approach where we would like to block all signage. This includes bus stop ads, store signs, those banners they have on street lights, etc.
### Categories
🚧 **Billboard** - includes advertisements on bus benches and shelters, and the posters on building construction (think with scaffolding).
🏪 **Signage** - store names, signs on buildings, lists of businesses at a strip mall, also includes any small standalone advertisements like those campaign signs in people's yards or papers on telephone poles.
📦 **Branding** - logos and names on products, like a coffee cup or scooter, includes car badges.
### Seeking Photos on https://mekabytes.com
Right now the images have been mostly collected in Los Angeles, CA. We would love some geographical variety!
If you have any questions about labeling, don't hesitate to leave a comment and check the checkbox to notify the mods.
We are light on branding photos, so pictures of products with logos and brands on them are greatly appreciated!
### Version Info
```
Version: 2022-08-11T18:53:22Z
Type: bounding box
Images: 103
Annotations: 1351
Size (bytes): 315483844
```
提供机构:
ComputeHeavy
原始信息汇总
数据集概述
数据集目标
本数据集旨在识别并隐藏照片中的广告牌和企业标识,未来还计划通过增强现实技术实现隐藏功能。
数据集内容
分类
- 广告牌:包括公交候车亭和避难所的广告,以及建筑施工中的海报(带有脚手架)。
- 标识:包括商店名称、建筑上的标志、商业街区的商业列表,以及小型独立广告,如居民院子里的竞选标志或电线杆上的纸张。
- 品牌标识:产品上的标志和名称,如咖啡杯或滑板车,包括汽车徽章。
数据集现状
- 地理位置:目前图像主要收集于洛杉矶,加利福尼亚州。
- 需求:目前缺乏品牌标识的照片,特别是带有标志和品牌的产品照片。
版本信息
- 版本:2022-08-11T18:53:22Z
- 类型:边界框
- 图像数量:103
- 标注数量:1351
- 大小:315483844字节



