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netskink/hftesty

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Hugging Face2024-01-07 更新2024-03-04 收录
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--- # For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1 # Doc / guide: https://huggingface.co/docs/hub/datasets-cards {} --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> Collection of NC DOT Public Traffic Safety Cameras. Gathered to detect icy bridges for traffic safety. This dataset card based upon [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> North Carolina Traffic Safety Cameras. Gathered to detect icy bridges for traffic safety. Weather data from openweathermaps. - **Curated by:** John F. Davis davisjf@gmail.com - **Funded by [optional]:** John F. Davis - **Shared by [optional]:** John F. Davis - **Language(s) (NLP):** English - **License:** Public Domain ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - **Repository:** https://github.com/rtp-gcp/gcp_icy_bridge - **Paper [optional]:** none - **Demo [optional]:** none ## Uses <!-- Address questions around how the dataset is intended to be used. --> Used for an open source project to detect icy bridges using computer vision and weather data. ### Direct Use <!-- This section describes suitable use cases for the dataset. --> * classify images if they are usable * usable/notusable * lens flare * lens moisture * low light * object identification * bridge * roadway * sky * grass * car * snow * ice * object detection * same but with bounding boxes * image segmentation * pixels which constraint a particular item, say bridge surface or seam ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> * dogs * cats * don't know ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
提供机构:
netskink
原始信息汇总

数据集卡片 for Dataset Name

数据集概述

收集的北卡罗来纳州交通安全摄像头数据,用于检测桥梁结冰情况,以保障交通安全。包含来自openweathermaps的天气数据。

数据集详情

数据集描述

北卡罗来纳州交通安全摄像头数据,用于检测桥梁结冰情况,以保障交通安全。包含来自openweathermaps的天气数据。

  • 策划者: John F. Davis davisjf@gmail.com
  • 资助者 [可选]: John F. Davis
  • 共享者 [可选]: John F. Davis
  • 语言(NLP): 英语
  • 许可证: 公共领域

数据集来源 [可选]

  • 仓库: https://github.com/rtp-gcp/gcp_icy_bridge
  • 论文 [可选]:
  • 演示 [可选]:

用途

直接使用

  • 图像分类
    • 可用/不可用
      • 镜头眩光
      • 镜头湿气
      • 低光
  • 物体识别
    • 桥梁
    • 道路
    • 天空
    • 草地
    • 汽车
  • 物体检测
    • 同上,但带有边界框
  • 图像分割
    • 约束特定项目的像素,例如桥梁表面或接缝

超出范围的使用

  • 不知道

数据集结构

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数据集创建

策划理由

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源数据

数据收集和处理

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源数据生产者是谁?

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注释 [可选]

注释过程

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注释者是谁?

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个人和敏感信息

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偏差、风险和局限性

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建议

用户应了解数据集的风险、偏差和技术局限性。需要更多信息以提供进一步的建议。

引用 [可选]

BibTeX:

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APA:

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术语表 [可选]

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更多信息 [可选]

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数据集卡片作者 [可选]

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数据集卡片联系

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