guydada/quickstart-coco

---
annotations_creators: []
language: en
task_categories:
- object-detection
task_ids: []
pretty_name: quickstart
tags:
- fiftyone
- image
- object-detection
- object-detection
label_fields: '*'
dataset_summary: '


This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 200 samples.

## Installation

If you haven''t already, install FiftyOne:

```bash

pip install -U fiftyone

```

## Usage

```python

import fiftyone as fo

import fiftyone.utils.huggingface as fouh

# Load the dataset

# Note: other available arguments include ''split'', ''max_samples'', etc

dataset = fouh.load_from_hub("guydada/quickstart-coco")

# Launch the App

session = fo.launch_app(dataset)

```

'
---

# Dataset Card for quickstart

<!-- Provide a quick summary of the dataset. -->


This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 200 samples.

## Installation

If you haven't already, install FiftyOne:

```bash
pip install -U fiftyone
```

## Usage

```python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# Load the dataset
# Note: other available arguments include 'split', 'max_samples', etc
dataset = fouh.load_from_hub("guydada/quickstart-coco")

# Launch the App
session = fo.launch_app(dataset)
```

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** en
- **License:** [More Information Needed]

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

[More Information Needed]

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

[More Information Needed]

## 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]

注释创建者: []
语言: 英语
任务类别:
- 目标检测（object-detection）
任务子类型: []
可读名称: quickstart
标签:
- FiftyOne（FiftyOne）
- 图像（image）
- 目标检测（object-detection）
- 目标检测（object-detection）
标签字段: '*'
dataset_summary: '

这是一个包含200个样本的FiftyOne（FiftyOne）数据集，其官方仓库地址为<https://github.com/voxel51/fiftyone>。

## 安装步骤
若您尚未安装FiftyOne，请运行以下命令完成安装：

bash
pip install -U fiftyone

## 使用方法
python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# 加载数据集
# 注意：其他可用参数包括 ''split'', ''max_samples'', 等
dataset = fouh.load_from_hub("guydada/quickstart-coco")

# 启动应用
session = fo.launch_app(dataset)

'

# 快速入门（quickstart）数据集卡片

<!-- Provide a quick summary of the dataset. -->


这是一个包含200个样本的FiftyOne（FiftyOne）数据集，其官方仓库地址为<https://github.com/voxel51/fiftyone>。

## 安装步骤
若您尚未安装FiftyOne，请运行以下命令完成安装：

bash
pip install -U fiftyone

## 使用方法
python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# 加载数据集
# 注意：其他可用参数包括 'split', 'max_samples', 等
dataset = fouh.load_from_hub("guydada/quickstart-coco")

# 启动应用
session = fo.launch_app(dataset)

## 数据集详情

### 数据集描述

<!-- Provide a longer summary of what this dataset is. -->

- **整理方：** [需补充更多信息]
- **资助方 [可选]：** [需补充更多信息]
- **共享方 [可选]：** [需补充更多信息]
- **语言（自然语言处理）：** 英语
- **许可证：** [需补充更多信息]

### 数据集来源 [可选]

<!-- Provide the basic links for the dataset. -->

- **代码仓库：** [需补充更多信息]
- **论文 [可选]：** [需补充更多信息]
- **演示 [可选]：** [需补充更多信息]

## 使用场景

<!-- Address questions around how the dataset is intended to be used. -->

### 直接使用

<!-- This section describes suitable use cases for the dataset. -->

[需补充更多信息]

### 不适用场景

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

[需补充更多信息]

## 数据集结构

<!-- 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. -->

[需补充更多信息]

## 数据集构建

### 整理依据

<!-- Motivation for the creation of this dataset. -->

[需补充更多信息]

### 源数据

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### 数据收集与处理

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

[需补充更多信息]

#### 源数据生产者

<!-- 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. -->

[需补充更多信息]

### 标注 [可选]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### 标注流程

<!-- 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. -->

[需补充更多信息]

#### 标注人员

<!-- This section describes the people or systems who created the annotations. -->

[需补充更多信息]

#### 个人与敏感信息

<!-- 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. -->

[需补充更多信息]

## 偏差、风险与局限性

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[需补充更多信息]

### 建议

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

用户应知晓该数据集存在的风险、偏差与局限性，需进一步补充相关建议。

## 引用 [可选]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX格式：**

[需补充更多信息]

**APA格式：**

[需补充更多信息]

## 术语表 [可选]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

[需补充更多信息]

## 更多信息 [可选]

[需补充更多信息]

## 数据集卡片编写者 [可选]

[需补充更多信息]

## 数据集卡片联系方式

[需补充更多信息]

原始信息汇总

数据集概述

基本信息

• 名称: quickstart
• 样本数量: 200
• 语言: 英文 (en)
• 任务类别: 物体检测 (object-detection)
• 标签字段: 全部 (*)
• 使用平台: FiftyOne

安装与使用

安装

• 需要安装 FiftyOne 软件，可通过以下命令进行安装： bash pip install -U fiftyone

使用

• 数据集加载示例代码： python import fiftyone as fo import fiftyone.utils.huggingface as fouh

  加载数据集

  dataset = fouh.load_from_hub("guydada/quickstart-coco")

  启动应用

  session = fo.launch_app(dataset)

数据集详情

• 数据集描述: 该数据集是一个 FiftyOne 平台上的物体检测数据集，包含200个样本。
• 数据集来源: 未提供详细信息。
• 许可证: 未提供详细信息。
• 数据集创建: 未提供详细信息。
• 数据集结构: 未提供详细信息。
• 数据集使用: 未提供详细信息。
• 数据集风险与限制: 建议用户了解数据集的风险、偏差和限制。