street-videos

# Dataset Card for Street Videos Dataset

This dataset contains a collection of street videos designed to support tasks such as video classification, object detection, and urban scene analysis. Each video captures various street environments, including urban settings, pedestrian areas, and traffic scenarios, to provide diverse training data for computer vision models.

## Dataset Details

### Dataset Description

This dataset contains videos of street scenes contributed by various sources. The videos are intended to enable the development and benchmarking of models that can:
- Classify activities or events in street scenes.
- Detect objects such as pedestrians, vehicles, or traffic signs.
- Support surveillance, traffic monitoring, or autonomous navigation systems.

The dataset is ideal for training and evaluating models for urban computer vision and video analysis applications.

## Uses

### Direct Use

- Training video classification models to recognize activities in street scenes.
- Fine-tuning object detection models for urban environments.
- Research in autonomous navigation and smart city technologies.

### Out-of-Scope Use

- Real-time surveillance without proper ethical considerations.
- Commercial use without proper attribution under CC BY 4.0.
- Any use that attempts to identify individuals in videos.

## Dataset Structure

Each sample consists of:
- A video (`.mp4` or `.avi`) stored in the `videos/` directory.

## Dataset Creation

### Curation Rationale

The dataset was curated to support research and development in urban computer vision and video analysis. The diversity in locations, times of day, and activities enhances model generalization and robustness.

### Source Data

#### Data Collection and Processing

Videos were collected from various urban environments under different lighting and weather conditions. All videos were manually reviewed for quality and relevance.

#### Who are the source data producers?

Anonymous contributors capturing street footage. No personal data was collected.

### Annotations

#### Annotation process

Videos are paired with descriptive metadata where applicable. Annotations for specific objects or activities may be provided in separate files or require manual labeling by users.

#### Personal and Sensitive Information

No personally identifiable or sensitive data is included in the dataset.

## Bias, Risks, and Limitations

- The dataset may not include all possible urban environments or rare events.
- Low-light or extreme weather conditions may be underrepresented.
- Models trained on this dataset may not generalize well to all real-world urban scenarios.

### Recommendations

- Combine with other video datasets for broader coverage.
- Use only for academic, non-commercial experimentation unless explicitly licensed.

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## Contact

- For queries or collaborations related to datasets, contact at :
- [e-mail]
- [e-mail]

## Citation

**BibTeX:**

```bibtex
@misc{streetvideos2025,
title = {Street Videos Dataset},
author = {Anonymous Contributors},
year = {2025},
howpublished = {\url{https://huggingface.co/datasets/<your-org>/street-videos}},
note = {Dataset available under CC BY 4.0 license}
}

# 街道视频数据集卡片
本数据集收录了一系列街道场景视频，旨在为视频分类（Video Classification）、目标检测（Object Detection）以及城市场景分析（Urban Scene Analysis）等计算机视觉（Computer Vision）任务提供支撑。每段视频涵盖城市街区、步行区域与交通场景等多样街道环境，可为计算机视觉模型提供多样化的训练数据。

## 数据集详情
### 数据集概述
本数据集包含多来源提供的街道场景视频，旨在支持开发与基准测试能够完成以下任务的模型：
- 分类街道场景中的活动或事件
- 检测行人、车辆、交通标志等目标
- 为安防监控、交通监测以及自主导航系统提供支撑
本数据集非常适合用于城市计算机视觉与视频分析相关应用的模型训练与评估。

## 数据集用途
### 直接使用场景
- 训练视频分类模型以识别街道场景中的活动
- 针对城市环境微调目标检测模型
- 开展自主导航与智慧城市技术相关研究

### 禁止使用场景
- 未遵循伦理规范的实时监控应用
- 未遵循CC BY 4.0协议进行合理署名的商业使用
- 任何试图识别视频中个体的应用

## 数据集结构
每个样本包含：
- 一段存储于`videos/`目录下的视频文件（格式为`.mp4`或`.avi`）

## 数据集构建
### 构建初衷
本数据集旨在支撑城市计算机视觉与视频分析领域的研究与开发。数据集涵盖多样的拍摄地点、时段与活动场景，可提升模型的泛化能力（Generalization）与鲁棒性（Robustness）。

### 源数据
#### 数据收集与处理流程
视频采集自不同光照与天气条件下的各类城市环境，所有视频均经人工审核以确保质量与相关性。

#### 源数据提供者
匿名贡献者拍摄的街道影像，本数据集未收集任何个人信息。

### 标注信息
#### 标注流程
部分视频会附带描述性元数据（Metadata）。特定目标或活动的标注可在独立文件中获取，或需用户自行手动标注。

#### 个人与敏感信息
本数据集未包含任何可识别个人身份的信息或敏感数据。

## 偏差、风险与局限性
- 本数据集可能未覆盖所有城市环境或罕见事件
- 低光照或极端天气场景的占比可能不足
- 基于本数据集训练的模型未必能在所有真实城市场景中实现良好泛化

### 使用建议
- 可结合其他视频数据集以获得更全面的覆盖范围
- 除非获得明确授权，仅可用于学术非商业实验

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## 联系方式
- 若有数据集相关咨询或合作需求，请联系：
- [e-mail]
- [e-mail]

## 引用格式
**BibTeX:**
bibtex
@misc{streetvideos2025,
title = {Street Videos Dataset},
author = {Anonymous Contributors},
year = {2025},
howpublished = {url{https://huggingface.co/datasets/<your-org>/street-videos}},
note = {Dataset available under CC BY 4.0 license}
}

搜集汇总

背景与挑战

背景概述

该数据集包含一系列街道场景视频，旨在支持视频分类、物体检测和城市场景分析等计算机视觉任务。它适用于训练和评估城市视频分析模型，但覆盖环境可能有限，建议用于学术研究。