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Add some tools #2

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Add some open source labelling tools.
lonelygo Aug 1, 2019
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Correct typos
lonelygo Aug 1, 2019
593bd97
add Label Studio
lonelygo Oct 9, 2019
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18 changes: 16 additions & 2 deletions README.md
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本文旨在收集整理开源的数据标注工具，方便使用，目前包括Image、Video、Text和Audio 4个方面。文中大部分工具，本人还未亲自测试过，标签或是归档不妥之处也会长期改进！

## Table of Contents
- [0. 通用工具](#通用工具)
- [1. Image](#Image)
- [2. Video](#Video)
- [3. Text](#Text)
- [4. Audio](#Audio)

## <a name="General Tools"></a>0. 通用工具

>> ### 0.1 Label Studio
>> - **[Label Studio](https://github.com/heartexlabs/label-studio)**
>> * Label Studio is a multi-type data labeling and annotation tool with standardized output format https://labelstud.io/
>> * Its purpose is to enable you to label different types of data using the most convenient interface with a standardized output format.

## <a name="Image"></a>1. Image
>> ### 1.1 bbox
>> - **[labelImg](https://github.com/tzutalin/labelImg)**
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>> - **[RectLabel](https://rectlabel.com/)**
>> * RectLabel即可画框（目标检测）又可画多边形（分割）
>> - **[CVAT](https://github.com/opencv/cvat)**
>> * CVAT高效的标注工具，图像分类，目标检测，语义分割，实例分割，支持本地部署
>> * CVAT是OpenCV团队开源的高效的标注工具，图像分类，目标检测，语义分割，实例分割，支持本地部署
>> - **[VoTT](https://github.com/microsoft/VoTT)**
>> * VoTT 微软发布的Eeb方式部署标注工具，至此图像和视频；支持CNTK，Pascal Voc格式；支持导出TFRecord，CSV，VoTT格式
>> - **[VIA-VGG Image Annotator](http://www.robots.ox.ac.uk/~vgg/software/via/)**
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>> * brat是基于python的**自然语言**标注工具，设计灵活，实用，应用广泛。
>> - **[MarqueeLabel](https://github.com/cbpowell/MarqueeLabel)**
>> * MarqueeLabel是基于Swift和C的**自然语言**标注工具，设计灵活，实用，应用广泛。

>> - **[CoreNLP](https://stanfordnlp.github.io/CoreNLP/)**
* Stanford CoreNLP provides a set of human language technology tools.
>> - **[doccano](https://github.com/chakki-works/doccano)**
* doccano提供了文本分类，序列标记和序列到序列的注释功能。因此，您可以为情绪分析，命名实体识别，文本摘要等创建标记数据。
>> - ** [Chinese-Annotator](https://github.com/deepwel/Chinese-Annotator)**
* Annotator for Chinese Text Corpus，

## <a name="Audio"></a>4. Audio
>> - **[audio-annotator](https://github.com/CrowdCurio/audio-annotator)**
>> * audio-annotator是基于Javascript的**音频**标注工具，它可以实现无形、声谱图、声波进行可视化标注，通用性强，应用广泛。
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