From 84b1c54df55404564322fc467d179a831e91b5b3 Mon Sep 17 00:00:00 2001
From: lvlinsheng <lvlinsheng@pjlab.org.cn>
Date: Thu, 16 Nov 2023 21:42:18 +0800
Subject: [PATCH] docs: update docs
---
src/pages/guide.account/markdown_en-US.mdx | 10 +-
src/pages/guide.export/markdown_en-US.mdx | 35 ++-
src/pages/guide.export/markdown_zh-CN.mdx | 6 +-
.../guide.introduction/markdown_en-US.mdx | 48 ++---
.../markdown_zh-CN.mdx | 34 +--
.../markdown_en-US.mdx | 46 ++--
.../markdown_en-US.mdx | 34 +--
src/pages/guide.task-check/markdown_en-US.mdx | 6 +-
.../markdown_en-US.mdx | 203 +++++++++---------
.../markdown_en-US.mdx | 8 +-
.../markdown_zh-CN.mdx | 2 +-
.../markdown_en-US.mdx | 16 +-
12 files changed, 234 insertions(+), 214 deletions(-)
diff --git a/src/pages/guide.account/markdown_en-US.mdx b/src/pages/guide.account/markdown_en-US.mdx
index ebaf38d8..c4e81dd2 100644
--- a/src/pages/guide.account/markdown_en-US.mdx
+++ b/src/pages/guide.account/markdown_en-US.mdx
@@ -1,17 +1,17 @@
import xlabAcount from './xlab-account-cn.png';
import localAcount from './local-account-cn.png';
-## Account
+## Registration and Login
-### 在线版
+### Web online version
-可通过“手机验证码”注册登录，也可使用“手机号/邮箱+密码”的方式注册登录。
+You can register and log in using "Mobile Verification Code", or you can also register and log in with "Mobile Number/Email + Password".
<img src={xlabAcount} />
-### 离线版
+### Local deployment version
-账号信息存储在本地电脑，可通过用邮箱注册来进行登录。
+You can log in by registering with an email.
<img src={localAcount} />
diff --git a/src/pages/guide.export/markdown_en-US.mdx b/src/pages/guide.export/markdown_en-US.mdx
index 7801b97f..3c372978 100644
--- a/src/pages/guide.export/markdown_en-US.mdx
+++ b/src/pages/guide.export/markdown_en-US.mdx
@@ -2,22 +2,43 @@ import imageUrl from './image.png';
import video from './video.png';
import audio from './audio.png';
-## 导出标注结果
+## Export Annotated Results
+
+### Image Format
+
+After finishing the annotations, you can export the annotated results file in JSON, COCO, MASK formats.For annotation format instructions, please visit https://opendatalab.github.io/labelU/#/schema/image/point.
+
+
+
+
+
-### 图片
-完成标注后，可将标注结果文件以JSON,COCO,MASK形式导出。
<img src={imageUrl} />
-### 视频
+### Video Format
+
+After completing the annotations, you can export the annotated results file in JSON format.For annotation format instructions, please visit https://opendatalab.github.io/labelU/#/schema/video/segment.
+
+
+
+
+
+
-完成标注后，可将标注结果文件以JSON形式导出。
<img src={video} />
-### 音频
+### Audio Format
+
+After completing the annotations, you can export the annotated results file in JSON format.For annotation format instructions, please visit https://opendatalab.github.io/labelU/#/schema/audio/segment.
+
+
+
+
+
+
-完成标注后，可将标注结果文件以JSON形式导出。
<img src={audio} />
diff --git a/src/pages/guide.export/markdown_zh-CN.mdx b/src/pages/guide.export/markdown_zh-CN.mdx
index 7801b97f..5549c644 100644
--- a/src/pages/guide.export/markdown_zh-CN.mdx
+++ b/src/pages/guide.export/markdown_zh-CN.mdx
@@ -6,18 +6,18 @@ import audio from './audio.png';
### 图片
-完成标注后，可将标注结果文件以JSON,COCO,MASK形式导出。
+完成标注后，可将标注结果文件以JSON,COCO,MASK形式导出。标注格式说明见https://opendatalab.github.io/labelU/#/schema/image/point
<img src={imageUrl} />
### 视频
-完成标注后，可将标注结果文件以JSON形式导出。
+完成标注后，可将标注结果文件以JSON形式导出。标注格式说明见https://opendatalab.github.io/labelU/#/schema/video/segment
<img src={video} />
### 音频
-完成标注后，可将标注结果文件以JSON形式导出。
+完成标注后，可将标注结果文件以JSON形式导出。标注格式说明见https://opendatalab.github.io/labelU/#/schema/audio/segment
<img src={audio} />
diff --git a/src/pages/guide.introduction/markdown_en-US.mdx b/src/pages/guide.introduction/markdown_en-US.mdx
index 9e9e8c77..e1d715b6 100644
--- a/src/pages/guide.introduction/markdown_en-US.mdx
+++ b/src/pages/guide.introduction/markdown_en-US.mdx
@@ -1,49 +1,49 @@
-## 产品简介
+## Product Introduction
-### 产品介绍
+### Product Overview
-LabelU是一个开源的数据标注工具，它可以帮助用户快速、准确、高效地对数据进行标注，从而提高机器学习模型的性能和质量。LabelU支持多种标注类型，包括标签分类、拉框、多边形、点、线、文本描述等，满足不同场景和需求的标注任务。
-体验产品可通过以下两种方式：
-- 在线体验：[https://labelu.shlab.tech/](https://labelu.shlab.tech/)
-- 本地部署：[https://opendatalab.github.io/labelU/#/guide/install](https://opendatalab.github.io/labelU/#/guide/install)
+LabelU is an open-source data annotation tool that can help users quickly, accurately, and efficiently annotate data, thereby improving the performance and quality of machine learning models. LabelU supports various types of annotations, including label classification, bounding boxes, polygons, points, lines, text descriptions, etc., meeting different scenarios and annotation task needs.
+You can experience the product in two ways:
+- Online experience：[https://labelu.shlab.tech/](https://labelu.shlab.tech/)
+- Local deployment：[https://opendatalab.github.io/labelU/#/guide/install](https://opendatalab.github.io/labelU/#/guide/install)
-### 功能特性
+### Feature Introduction
-LabelU提供了多种标注工具和功能，支持图像、视频、音频标注。
+LabelU provides a variety of annotation tools and features, supporting image, video, and audio annotations.
-- 图像类：多功能图像处理工具，涵盖2D框、语义分割、多段线、关键点等多种标注工具，协助完成图像的标识、注释和分析。
-- 视频类：具备强大视频处理能力，可实现视频分割、视频分类、视频信息提取等功能，为模型训练提供优质标注数据。
-- 音频类：高效精准的音频分析工具，可实现音频分割、音频分类、音频信息提取等功能，将复杂的声音信息直观可视化。
+- Image-based: Multifunctional image processing tools, covering 2D box, semantic segmentation, polyline, key points, and various other annotation tools，to assist in the identification, annotation, and analysis of images.
+- Video-based: With powerful video processing capabilities, it can perform video segmentation, video classification, video information extraction, and other functions, providing high-quality annotated data for model training.
+- Audio-based: Efficient and accurate audio analysis tools, capable of audio segmentation, audio classification, audio information extraction, and other functions, making complex sound information intuitively visualized.
-### 概念说明
+### Concept Introduction
<table>
<thead>
<tr>
- <th>名词</th>
- <th>说明</th>
+ <th>Concept</th>
+ <th>Explanation</th>
</tr>
</thead>
<tbody>
<tr>
- <td style={{ whiteSpace: 'nowrap' }}>任务（task）</td>
- <td>为了对某个数据集进行标注而建立的任务</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Task</td>
+ <td>A task established for annotating a specific dataset</td>
</tr>
<tr>
- <td style={{ whiteSpace: 'nowrap' }}>标签（label）</td>
- <td>标注时需要添加的分类标识，比如猫、狗、行人、车辆</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Label</td>
+ <td>The classification labels that need to be added during annotation, such as cat, dog, pedestrian, vehicle</td>
</tr>
<tr>
- <td style={{ whiteSpace: 'nowrap' }}>标记（annotation）</td>
- <td>进行一次标注后生成的对象，比如一个矩形框、一个点</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Annotation</td>
+ <td>The object generated after a round of annotation, like a rectangle box, a point</td>
</tr>
<tr>
- <td style={{ whiteSpace: 'nowrap' }}>属性（attribute）</td>
- <td>对标签的进一步描述，比如将某个物体标为车辆后，添加属性“车辆遮挡率为20%”</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Attribute</td>
+ <td>Further description of the label, for example, after labeling an object as a vehicle, adding the attribute "vehicle occlusion rate is 20%"</td>
</tr>
<tr>
- <td style={{ whiteSpace: 'nowrap' }}>标注结果（result）</td>
- <td>标记+标签+属性，一条完整的标注记录</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Result</td>
+ <td>Annotation + Label + Attribute, a complete annotation record</td>
</tr>
</tbody>
</table>
diff --git a/src/pages/guide.task-annotation.audio/markdown_zh-CN.mdx b/src/pages/guide.task-annotation.audio/markdown_zh-CN.mdx
index ef55971c..67d27d32 100644
--- a/src/pages/guide.task-annotation.audio/markdown_zh-CN.mdx
+++ b/src/pages/guide.task-annotation.audio/markdown_zh-CN.mdx
@@ -1,44 +1,44 @@
import global from './global.png';
import tool from './tool.png';
-## 音频标注
+## Audio Annotation
-标注流程说明：
+Annotation process description：
-1. 判断任务是否为无效，若无效点击跳过，进入下一音频，若有效，有标注任务时（目标检测、语意分割、线标注、点标注），标注工具和配置的一致
-2. 在全局标签上，可以勾选预先配置好的「标签分类」来给整个音频打上标签，也可以在「文本描述」下对于视频进行文字说明
-3. 在具体标记上，首先点击左上角的「工具样式」来选择标记方式，在音频中完成该样式的标记后同步在右方的标记栏中。对于该标签的名称等信息可以手动点击后进行修改
-4. 在右侧标签结果管理栏单击标签结果可选中音频中对应标记，工具栏中选中工具切换为标签结果的工具。点击「修改」详细信息可下拉选择标签名称，点击「隐藏」按钮可隐藏这一条标记信息，点击「删除」按钮可删除这一条标记信息
-5. 选择「下一页」，进入下一个音频
-6. 重复1~5，直到标注完成
+1. Determine whether the task is invalid; if so, click skip to proceed to the next audio. If valid, when there are annotation tasks (object detection, semantic segmentation, line annotation, point annotation), the annotation tools and configuration are consistent.
+2. On the global labels, you can select the pre-configured "label classification" to tag the entire audio or provide a text explanation for the audio under "text description".
+3. For specific markings, first click the "tool style" in the upper left corner to select the marking method. After completing the style of the mark in the audio, synchronize it in the label column on the right. The name of this label and other information can be modified manually by clicking on it.
+4. Click on the label result in the label result management column on the right side to select the corresponding marking in the audio. The selected tool in the toolbar switches to the label result tool. Click "modify" for detailed information to drop down and select the label name; click the "hide" button to hide this marking information; click the "delete" button to delete this marking information.
+5. Choose "Next", go to the next audio.
+6. Repeat steps 1-5 until the annotation is complete.
-### 工具介绍
+### Tool introduction
<table>
<thead>
<tr>
- <th style={{ whiteSpace: 'nowrap' }}>工具样式</th>
- <th>使用方法</th>
+ <th style={{ whiteSpace: 'nowrap' }}>Tool Style</th>
+ <th>Usage Method</th>
</tr>
</thead>
<tbody>
<tr>
- <td>片段分割</td>
- <td>播放音频并找到你想要开始切割的点，按下暂停并点击确定起始点。可以直接在时间线上点击并拖动选择终止点，来选择你想要切割的音频部分。</td>
+ <td>Segment Segmentation</td>
+ <td>Play the audio and find the point where you want to start cutting, pause and click to confirm the starting point. You can directly click and drag to select the end point on the timeline, to choose the part of the audio you want to cut.</td>
</tr>
<tr>
- <td>时间戳</td>
- <td>选中找到你想引用或高亮的时间点，如果你想标记音频的1小时10分钟30秒处，你应该点击01:10:30这个进度条的点。</td>
+ <td>Timestamps</td>
+ <td>Select the time point you want to reference or highlight. If you want to mark 1 hour, 10 minutes and 30 seconds of the audio, you should click the point on the progress bar at 01:10:30.</td>
</tr>
</tbody>
</table>
-### 全局标签
+### Global labels
<img src={global} />
-### 标记
+### Specific markings
<img src={tool} />
diff --git a/src/pages/guide.task-annotation.image/markdown_en-US.mdx b/src/pages/guide.task-annotation.image/markdown_en-US.mdx
index 662569fc..ed6cdb2f 100644
--- a/src/pages/guide.task-annotation.image/markdown_en-US.mdx
+++ b/src/pages/guide.task-annotation.image/markdown_en-US.mdx
@@ -1,55 +1,55 @@
import global from './global.png';
import tool from './tool.png';
-## 图片标注
+## Image Annotation
-标注流程说明：
+Annotation process description:
-1. 判断任务是否为无效，若无效点击跳过，进入下一张图片，若有效，有标注任务时（目标检测、语意分割、线标注、点标注），标注工具和配置的一致
-2. 在全局标签上，可以勾选预先配置好的「标签分类」来给整个图片打上标签，也可以在「文本描述」下对于图片进行文字说明
-3. 在具体标记上，首先点击左上角的「工具样式」来选择标记方式，在图中完成该样式的标记后同步在右方的标记栏中。对于该标签的名称等信息可以手动点击后进行修改
-4. 在右侧标签结果管理栏单击标签结果可选中图片中对应标记，工具栏中选中工具切换为标签结果的工具。点击「修改」详细信息可下拉选择标签名称，点击「隐藏」按钮可隐藏这一条标记信息，点击「删除」按钮可删除这一条标记信息
-5. 选择「下一页」，进入下一个图片
-6. 重复1~5，直到标注完成
+1. Determine whether the task is invalid; if so, click skip to proceed to the next image. If valid, when there are annotation tasks (object detection, semantic segmentation, line annotation, point annotation), the annotation tools and configuration are consistent.
+2. On the global labels, you can select the pre-configured "label classification" to tag the entire image or provide a text explanation for the image under "text description".
+3. For specific markings, first click the "tool style" in the upper left corner to select the marking method. After completing the style of the mark in the image, synchronize it in the label column on the right. The name of this label and other information can be modified manually by clicking on it.
+4. Click on the label result in the label result management column on the right to select the corresponding mark in the image. The selected tool in the toolbar switches to the label result tool. Click "modify" for detailed information to drop down and select the label name; click the "hide" button to hide this marking information; click the "delete" button to delete this marking information.
+5. Choose "Next", go to the next image.
+6. Repeat steps 1-5 until the annotation is complete.
-### 全局标签
+### Global labels
<img src={global} />
-### 标记
+### Specific markings:
<img src={tool} />
-### 工具介绍
+### Tool introduction
<table>
<thead>
<tr>
- <th>工具样式</th>
- <th style={{ whiteSpace: 'nowrap' }}>使用方法</th>
+ <th>Tool Style</th>
+ <th style={{ whiteSpace: 'nowrap' }}>Usage Method</th>
</tr>
</thead>
<tbody>
<tr>
- <td>拉框标注</td>
- <td>1. 选中拉框工具并配置标签，如轿车、公交车。<br />2. 单击鼠标左键标注第一点，画出框的范围之后再次单击左键，即可绘制出框。<br />3. 右键选中框之后，可以调整框的大小、有效性，也可以删除已标注的框。</td>
+ <td>Draw-box annotation</td>
+ <td>1. Select the draw-box tool and configure the labels, such as cars, buses.<br />2. Click the left mouse button to annotate the first point, draw out the range of the box and click the left button again to draw the box. <br />3. After right-clicking to select the box, you can adjust the size and validity of the box or delete the annotated box.</td>
</tr>
<tr>
- <td>标点标注</td>
- <td>1. 选中标点工具并配置标签，如人体姿态14个关键点，包括头、脖子、左肩、右肩、左手肘、右手肘、左腕、右腕、左髋、右髋、左膝、右膝、左脚踝、右脚踝。<br />2. 单击鼠标左键标注指定关键点。<br />3. 右键选中点之后，可以调整点的位置、属性，也可以删除已标注的点。</td>
+ <td>Point annotation</td>
+ <td>1. Select the point tool and configure the labels, such as 14 key points of human posture, including head, neck, left shoulder, right shoulder, left elbow, right elbow, left wrist, right wrist, left hip, right hip, left knee, right knee, left ankle, right ankle. <br />2. Click the left mouse button to annotate the specified key points.<br />3. After right-clicking to select a point, you can adjust the position and attributes of the point or delete the annotated point.</td>
</tr>
<tr>
- <td style={{ whiteSpace: 'nowrap' }}>多边形标注</td>
- <td>1. 选中多边形工具并配置标签，如猫、狗。<br />2. 单击鼠标左键标注起始点，随后沿目标边缘多次单击左键，以此类推在围绕目标边缘右键连接最接近起始点后，即可绘制出多边形框。<br />3. 右键选中框之后，可以调整目标边缘关键点、线段、目标有效性，也可以删除已标注的多边形框。</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Polygon annotation</td>
+ <td>1. Select the polygon tool and configure the labels, such as cats, dogs. <br />2. Click the left mouse button to annotate the starting point, then click the left button multiple times along the target edge. After right-clicking close to the starting point around the target edge, you can draw a polygon frame. <br />3. After right-clicking to select the frame, you can adjust the key points of the target edge, line segments, target validity or delete the annotated polygon frame.</td>
</tr>
<tr>
- <td>标线标注</td>
- <td>1. 选中线条工具并配置标签，如车道线。<br />2. 单击鼠标左键标注起始点，再次点击1+N后右键为终止点。<br />3. 操作Shift+左键则为垂直或水平线。</td>
+ <td>Line annotation</td>
+ <td>1. Select the line tool and configure the labels, such as lane lines.<br />2. Click the left mouse button to annotate the starting point, then click again after 1+N for the end point. <br />3. Operating Shift + left button results in a vertical or horizontal line.</td>
</tr>
</tbody>
</table>
-**注：** 在标记的过程中，可以点击「撤销」回退至上一步，也可以开启「显示顺序」按钮来看到标记的顺序，针对图片的调整也可以点击左下方的「图片调整」按钮来调整图片的饱和度，对比度，曝光度这些数值。
-以上操作都可以通过快捷键实现，具体的操作可以点击左上方「快捷键」按钮来进行查看。
+**Note：** In the process of marking, you can click "undo" to return to the previous step, you can also turn on the "display order" button to see the order of marking. For image adjustment, you can click the "image adjustment" button at the bottom left to adjust values such as saturation, contrast, and exposure.
+All of the above operations can be implemented through shortcut keys. The specific operation can be viewed by clicking the "shortcut" button in the upper left corner.
diff --git a/src/pages/guide.task-annotation.video/markdown_en-US.mdx b/src/pages/guide.task-annotation.video/markdown_en-US.mdx
index 068f2512..6d2bcd15 100644
--- a/src/pages/guide.task-annotation.video/markdown_en-US.mdx
+++ b/src/pages/guide.task-annotation.video/markdown_en-US.mdx
@@ -1,44 +1,44 @@
import global from './global.png';
import tool from './tool.png';
-## 视频标注
+## Video Annotation
-标注流程说明：
+Annotation process description:
-1. 判断任务是否为无效，若无效点击跳过，进入下一视频，若有效，有标注任务时（片段分割、时间戳），标注工具和配置的一致
-2. 在全局标签上，可以勾选预先配置好的「标签分类」来给整个视频打上标签，也可以在「文本描述」下对于视频进行文字说明
-3. 在具体标记上，首先点击左上角的「工具样式」来选择标记方式，在视频中完成该样式的标记后同步在右方的标记栏中。对于该标签的名称等信息可以手动点击后进行修改
-4. 在右侧标签结果管理栏单击标签结果可选中视频中对应标记，工具栏中选中工具切换为标签结果的工具。点击「修改」详细信息可下拉选择标签名称，点击「隐藏」按钮可隐藏这一条标记信息，点击「删除」按钮可删除这一条标记信息
-5. 选择「下一页」，进入下一个视频
-6. 重复1~5，直到标注完成
+1. Determine whether the task is invalid; if so, click skip to proceed to the next video. If valid, when there are annotation tasks (segment segmentation, timestamps), the annotation tools and configuration are consistent.
+2. On the global labels, you can select the pre-configured "label classification" to tag the entire video or provide a text explanation for the video under "text description".
+3. For specific markings, first click the "tool style" in the upper left corner to select the marking method. After completing the style of the mark in the video, synchronize it in the label column on the right. The name of this label and other information can be modified manually by clicking on it.
+4. Click on the label result in the label result management column on the right side to select the corresponding marking in the video. The selected tool in the toolbar switches to the label result tool. Click "modify" for detailed information to drop down and select the label name; click the "hide" button to hide this marking information; click the "delete" button to delete this marking information.
+5. Choose "Next", go to the next video.
+6. Repeat steps 1-5 until the annotation is complete.
-### 工具介绍
+### Tool introduction
<table>
<thead>
<tr>
- <th style={{ whiteSpace: 'nowrap' }}>工具样式</th>
- <th>使用方法</th>
+ <th style={{ whiteSpace: 'nowrap' }}>Tool Style</th>
+ <th>Usage Method</th>
</tr>
</thead>
<tbody>
<tr>
- <td>片段分割</td>
- <td>播放视频并找到你想要开始切割的点，按下暂停并点击确定起始点。可以直接在时间线上点击并拖动选择终止点，来选择你想要切割的视频部分。</td>
+ <td>Segment Segmentation</td>
+ <td>Play the video and find the point where you want to start cutting, pause and click to confirm the starting point. You can directly click and drag to select the end point on the timeline, to choose the part of the video you want to cut.</td>
</tr>
<tr>
- <td>时间戳</td>
- <td>选中找到你想引用或高亮的时间点，如果你想标记视频的1小时10分钟30秒处，你应该点击01:10:30这个进度条的点。</td>
+ <td>Timestamps</td>
+ <td>Select the time point you want to reference or highlight. If you want to mark 1 hour, 10 minutes and 30 seconds of the video, you should click the point on the progress bar at 01:10:30.</td>
</tr>
</tbody>
</table>
-### 全局标签
+### Global labels
<img src={global} />
-### 标记
+### Specific markings
<img src={tool} />
diff --git a/src/pages/guide.task-check/markdown_en-US.mdx b/src/pages/guide.task-check/markdown_en-US.mdx
index 0688faf3..6918fe61 100644
--- a/src/pages/guide.task-check/markdown_en-US.mdx
+++ b/src/pages/guide.task-check/markdown_en-US.mdx
@@ -1,12 +1,12 @@
import tasks from './tasks.png';
import task from './task.png';
-## 查看任务
+## View tasks
-1. 在「任务列表」主页点击先前的任务可跳转至相应的标注页面查看到之前的数据标注情况。
+1. On the "Task List" homepage, you can click on previous tasks to jump to the corresponding annotation page to view previous data annotation situations.
<img src={tasks} />
-2. 在标注页面的「数据总览」中可以查看到已标注，未标注，跳过，以及总计的对应数量。
+2. In "Data Overview" of the annotation page, you can view the corresponding counts of annotations made, un-annotated, skipped, and total.
<img src={task} />
diff --git a/src/pages/guide.task-create.annotation-config/markdown_en-US.mdx b/src/pages/guide.task-create.annotation-config/markdown_en-US.mdx
index 4a56872f..c15f8424 100644
--- a/src/pages/guide.task-create.annotation-config/markdown_en-US.mdx
+++ b/src/pages/guide.task-create.annotation-config/markdown_en-US.mdx
@@ -7,95 +7,95 @@ import videoAttributeConfig from './annotation-config-attribute-video.png';
import audioConfig from './annotation-config-audio.png';
import audioAttributeConfig from './annotation-config-attribute-audio.png';
-## 标注配置
+## Annotation Configuration
-- 全局：通过分类和描述给媒体数据（如图片，视频，音频等）本身打标签
-- 标记：通过配置工具在媒体中绘制标记
+- Global: Label the media data (such as images, videos, audios, etc.) itself by classification and description.
+- Annotation: Draw annotations in the media with configuration tools.
-### 图片标注配置
+### Image Annotation Configuration
<table>
<thead>
<tr>
- <th style={{ whiteSpace: 'nowrap' }}>类别</th>
- <th style={{ whiteSpace: 'nowrap' }}>工具</th>
- <th>工具说明</th>
+ <th style={{ whiteSpace: 'nowrap' }}>Category</th>
+ <th style={{ whiteSpace: 'nowrap' }}>Tool</th>
+ <th>Tool Description</th>
</tr>
</thead>
<tbody>
<tr>
- <td>全局</td>
- <td style={{ whiteSpace: 'nowrap' }}>标签分类</td>
- <td>用户可以对图像进行标签分类，以便于后续的图像识别和分类等任务。标签分类可以帮助用户快速将图像中的物体进行分类，并且可以用于图像检索、目标检测等任务。</td>
+ <td>Global</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Label Classification</td>
+ <td>Users can classify and label images to facilitate subsequent image recognition and classification tasks. Label classification helps users quickly classify objects in images and can be used for tasks such as image retrieval and object detection.</td>
</tr>
<tr>
<td></td>
- <td>文本描述</td>
- <td>用户可以将图像中的文字转换为文本，以便于后续的文本分析、识别等任务。文本转写可以帮助用户快速提取图像中的文字信息，并且可以用于文本检索、机器翻译等任务。</td>
+ <td>Text Description</td>
+ <td>Users can convert text in the image into text, facilitating subsequent text analysis and recognition tasks. Text transcription helps users quickly extract text information from images and can be used for tasks such as text retrieval and machine translation.</td>
</tr>
<tr>
- <td>标记</td>
- <td>拉框</td>
- <td>用户可以在图像上绘制矩形框，用于框选图像中的目标。拉框可以帮助用户快速选择图像中的物体，并且可以用于图像识别、目标跟踪等任务。</td>
+ <td>Annotation</td>
+ <td>Bounding Box</td>
+ <td>Users can draw rectangle boxes on the image to select targets in the image. Bounding boxes help users quickly select objects in images and can be used for tasks like image recognition and object tracking.</td>
</tr>
<tr>
<td></td>
- <td>标点</td>
- <td>用户可以在图像上绘制点，用于标注图像中的关键点。点可以帮助用户准确地标注图像中的关键信息，并且可以用于物体识别、场景分析等任务。</td>
+ <td>Point</td>
+ <td>Users can draw points on the image to annotate the keypoints in the image. Points help users accurately annotate key information in images and can be used for tasks such as object recognition and scene analysis.</td>
</tr>
<tr>
<td></td>
- <td>多边形</td>
- <td>用户可以在图像上绘制多边形，用于标注图像中的不规则形状。多边形可以帮助用户准确地标注不规则形状，并且可以用于物体识别、场景分析等任务。</td>
+ <td>Polygon</td>
+ <td>Users can draw polygons on the image to annotate irregular shapes in the image. Polygons help users accurately annotate irregular shapes and can be used for tasks such as object recognition and scene analysis.</td>
</tr>
<tr>
<td></td>
- <td>标线</td>
- <td>用户可以在图像上绘制直线，用于标注图像中的边缘和轮廓。线可以帮助用户准确地标注图像中的边缘和轮廓，并且可以用于物体识别、场景分析等任务。</td>
+ <td>Line</td>
+ <td>Users can draw lines on the image to annotate edges and contours in the image. Lines help users accurately annotate edges and contours in images and can be used for tasks such as object recognition and scene analysis.</td>
</tr>
</tbody>
</table>
-点击「标注工具」框下拉工具，可选择「标签分类」，「文本描述」这些全局工具，以及「拉框」，「标点」，「多边形」，「标线」这些标记工具。配置说明如下：
+Click ‘Annotation Tools’ dropdown box, you can select global tools like 'Label Classification', 'Text Description', as well as annotation tools like 'Bounding Box', 'Point', 'Polygon', 'Line'. The configuration explanation is as follows:
<table>
<thead>
<tr>
- <th style={{ whiteSpace: 'nowrap' }}>类别</th>
- <th style={{ whiteSpace: 'nowrap' }}>工具</th>
- <th>配置说明</th>
+ <th style={{ whiteSpace: 'nowrap' }}>Category</th>
+ <th style={{ whiteSpace: 'nowrap' }}>Tool</th>
+ <th>Configuration Explanation</th>
</tr>
</thead>
<tbody>
<tr>
- <td rowspan="2" style={{ verticalAlign: 'middle' }}>全局</td>
- <td style={{ whiteSpace: 'nowrap' }}>标签分类</td>
- <td>类别：分类描述中英文，选项：分类的具体选项中英文</td>
+ <td rowspan="2" style={{ verticalAlign: 'middle' }}>Global</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Label Classification</td>
+ <td>Category: Description in both Chinese and English, Option: Specific options of the category in both Chinese and English</td>
</tr>
<tr>
- <td>文本描述</td>
- <td>文本列表：包括文本描述名称中英文，文本设置：包括最大字数和默认文本</td>
+ <td>Text Description</td>
+ <td>Text List: Including text description name in both Chinese and English, Text Setting: Including maximum number of words and default text</td>
</tr>
<tr>
- <td>标记</td>
- <td>拉框</td>
- <td>最小尺寸：拉框最小宽度（W）和高度（H），标签配置：标注对象分类，包括中英文</td>
+ <td>Annotation</td>
+ <td>Bounding Box</td>
+ <td>Minimum Size: Minimum width (W) and height (H) of bounding box, Label Configuration: Object classification for annotation, including both Chinese and English</td>
</tr>
<tr>
<td></td>
- <td>标点</td>
- <td>上限点数：规定点数上限，超过不可画，标签配置：标注对象分类，包括中英文</td>
+ <td>Point</td>
+ <td>Maximum Number of Points: The upper limit of points, you can't draw more than this limit, Label Configuration: Object classification for annotation, including both Chinese and English</td>
</tr>
<tr>
<td></td>
- <td>多边形</td>
- <td>线条类型，闭合点数，边缘吸附，标签配置：标注对象分类，包括中英文</td>
+ <td>Polygon</td>
+ <td>Line Type, Closing Point Number, Edge Adsorption, Label Configuration: Object classification for annotation, including both Chinese and English</td>
</tr>
<tr>
<td></td>
- <td>标线</td>
- <td>线条类型，闭合点数，边缘吸附，标签配置：标注对象分类，包括中英文</td>
+ <td>Line</td>
+ <td>Line Type, Closing Point Number, Edge Adsorption, Label Configuration: Object classification for annotation, including both Chinese and English</td>
</tr>
</tbody>
</table>
@@ -103,160 +103,159 @@ import audioAttributeConfig from './annotation-config-attribute-audio.png';
<img src={imageConfig} />
-同时，标记类工具可支持配置属性信息，如分类属性和文本属性。完成配置后点击右上角「保存」按钮即可。
+At the same time, annotation tools can support attribute configuration, such as classification attributes and text attributes. Click the 'Save' button in the upper right corner when the configuration is complete.
<img src={attributeConfig} />
-**注：** 在配置过程中也可以点击右上角的「进入预览」按钮来预览配置好的标注页面。
+**Note：** During the configuration process, you can also click 'Enter Preview' in the upper right corner to preview the configured annotation page.
-### 视频标注配置
+### Video Annotation Configuration
<table>
<thead>
<tr>
- <th>类别</th>
- <th>工具</th>
- <th>工具说明</th>
+ <th>Category</th>
+ <th>Tool</th>
+ <th>Tool Description</th>
</tr>
</thead>
<tbody>
<tr>
- <td style={{ whiteSpace: 'nowrap' }}>全局</td>
- <td style={{ whiteSpace: 'nowrap' }}>标签分类</td>
- <td>对视频进行分类和标签化。通常，用户需要先选择视频的分类，然后观看视频并对其进行标注。标注的内容可以是视频的主题、场景、人物等，可运用于视频检索、推荐和分类等任务。</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Global</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Label Classification</td>
+ <td>Classify and label videos. Usually, user needs to first select the classification of the video, then watch the video and annotate it. The content of annotation can be theme, scene, character, etc. of the video, suitable for tasks like video retrieval, recommendation and classification.</td>
</tr>
<tr>
<td></td>
- <td>文本描述</td>
- <td>将视频中的语音内容转化为文字，便于用户进行文本分析和处理。用户可以通过观看视频并同时阅读转录文本来进行标注，可用于语音识别、语音转写和语音翻译等任务。</td>
+ <td>Text Description</td>
+ <td>Convert the speech content in the video into text for users to conduct text analysis and processing. Users can annotate by watching the video and reading the transcribed text at the same time, suitable for tasks such as speech recognition, transcription and translation.</td>
</tr>
<tr>
- <td>标记</td>
- <td>片段分割</td>
- <td>从视频中截取特定的片段或场景进行标注。用户可以通过选择视频的起始和结束时间来截取需要标注的部分，并进行相应的标注。这种工具对于视频目标检测、行为识别和视频摘要等任务非常有用。</td>
+ <td>Annotation</td>
+ <td>Segment Segmentation</td>
+ <td>Extract specific segments or scenes from the video for annotation. Users can select the start and end time of the video to capture the part that needs to be annotated, and make corresponding annotations. This tool is very useful for tasks like video object detection, behavior recognition and video summary.</td>
</tr>
<tr>
<td></td>
- <td>时间戳</td>
- <td>时间戳的功能是一种在视频播放器上显示特定时刻的方法，通常用于指向或标记视频中的特定部分。用户可以点击时间戳即可直接跳转到视频的那个部分。</td>
+ <td>Timestamp</td>
+ <td>The function of timestamp is a method to display a specific moment on the video player, usually used to point to or mark a specific part of the video. User can click the timestamp to jump directly to that part of the video.</td>
</tr>
</tbody>
</table>
-点击「标注工具」框下拉工具，可下拉选择「标签分类」，「文本描述」这些全局工具，以及「片段分割」，「时间戳」这些标记工具。配置说明如下：
-
+Click 'Annotation Tools' dropdown box, you can select global tools like 'Label Classification', 'Text Description', as well as annotation tools like 'Segment Segmentation', 'Timestamp'. The configuration explanation is as follows:
<table>
<thead>
<tr>
- <th>类别</th>
- <th>工具</th>
- <th>配置说明</th>
+ <th>Category</th>
+ <th>Tool</th>
+ <th>Configuration Explanation</th>
</tr>
</thead>
<tbody>
<tr>
- <td>全局</td>
- <td>标签分类</td>
- <td>类别：分类描述中英文，选项：分类的具体选项中英文</td>
+ <td>Global</td>
+ <td>Label Classification</td>
+ <td>Category: Description in both Chinese and English, Option: Specific options of the category in both Chinese and English</td>
</tr>
<tr>
<td></td>
- <td>文本描述</td>
- <td>文本列表：包括文本描述名称中英文，文本设置：包括最大字数和默认文本</td>
+ <td>Text Description</td>
+ <td>Text List: Including text description name in both Chinese and English, Text Setting: Including maximum number of words and default text</td>
</tr>
<tr>
- <td>标记</td>
- <td>片段分割</td>
- <td>配置分类：中文和英文</td>
+ <td>Annotation</td>
+ <td>Segment Division</td>
+ <td>Classification Configuration: In both Chinese and English</td>
</tr>
<tr>
<td></td>
- <td>时间戳</td>
- <td>配置分类：中文和英文</td>
+ <td>Timestamp</td>
+ <td>Classification Configuration: In both Chinese and English</td>
</tr>
</tbody>
</table>
<img src={videoConfig} />
-同时，标记类工具可支持配置属性信息，如分类属性和文本属性。完成配置后点击右上角「保存」按钮即可。
+At the same time, annotation tools can support attribute configuration, such as classification attributes and text attributes. Click the 'Save' button in the upper right corner when the configuration is complete.
<img src={videoAttributeConfig} />
-**注：** 在配置过程中也可以点击右上角的「进入预览」按钮来预览配置好的标注页面。
+**Note：** During the configuration process, you can also click 'Enter Preview' in the upper right corner to preview the configured annotation page.
-### 音频标注配置
+### Audio Annotation Configuration
<table>
<thead>
<tr>
- <th>类别</th>
- <th>工具</th>
- <th>工具说明</th>
+ <th>Category</th>
+ <th>Tool</th>
+ <th>Tool Description</th>
</tr>
</thead>
<tbody>
<tr>
- <td style={{ whiteSpace: 'nowrap' }}>全局</td>
- <td style={{ whiteSpace: 'nowrap' }}>标签分类</td>
- <td>用户可通过听取音频并选择合适的分类来进行标注。这些分类可以是音乐的流派、环境声音的类型、语音的情感等，适用于音频检索、音频推荐和音频分类等任务。</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Global</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Label Classification</td>
+ <td>Users can listen to the audio and select an appropriate category for annotation. These categories could be genres of music, types of ambient sounds, emotions in speech, etc., suitable for tasks such as audio retrieval, audio recommendation, and audio classification.</td>
</tr>
<tr>
<td></td>
- <td>文本描述</td>
- <td>将音频中的语音内容转化为文字，便于用户进行文本分析和处理。用户可以通过听取音频并同时阅读转录文本来进行标注。这种工具对于语音识别、语音转写等任务非常有用，可以帮助用户更好地理解和处理语音内容。</td>
+ <td>Text Description</td>
+ <td>The spoken content in the audio is converted into text, facilitating users to perform text analysis and processing. Users can annotate by listening to the audio while reading the transcribed text. This tool is highly useful for tasks like speech recognition and transcription, helping users better understand and process voice content.</td>
</tr>
<tr>
- <td>标记</td>
- <td>片段分割</td>
- <td>从音频中截取特定的片段进行标注。用户可以通过选择音频的起始和结束时间来截取需要标注的部分，并进行相应的标注。这种工具对于音频事件检测、语音识别和音频编辑等任务非常有用。</td>
+ <td>Annotation</td>
+ <td>Segment Division</td>
+ <td>Specific segments are extracted from the audio for annotation. Users can choose the start and end times of the audio to clip the part that needs to be annotated, and perform corresponding annotations. This tool is very beneficial for tasks such as audio event detection, speech recognition, and audio editing.</td>
</tr>
<tr>
<td></td>
- <td>时间戳</td>
- <td>时间戳的功能是一种在音频播放器上显示特定时刻的方法，通常用于指向或标记音频中的特定部分。用户可以点击时间戳即可直接跳转到音频的那个部分。</td>
+ <td>Timestamps</td>
+ <td>The function of timestamps is to display specific moments on the audio player, usually used to point to or mark specific parts in the audio. Users can click the timestamp to immediately jump to that part of the audio.</td>
</tr>
</tbody>
</table>
-点击「标注工具」框下拉工具，可下拉选择「标签分类」，「文本描述」这些全局工具，以及「片段分割」，「时间戳」，这些标记工具。配置说明如下：
+Click on the drop-down box under "Annotation Tools" to select global tools such as "Label Classification", "Text Description", as well as labeling tools like "Segment Division" and "Timestamps". Configuration instructions are as follows:
<table>
<thead>
<tr>
- <th>类别</th>
- <th>工具</th>
- <th>配置说明</th>
+ <th>Category</th>
+ <th>Tool</th>
+ <th>Configuration Instructions</th>
</tr>
</thead>
<tbody>
<tr>
- <td style={{ whiteSpace: 'nowrap' }}>全局</td>
- <td style={{ whiteSpace: 'nowrap' }}>标签分类</td>
- <td>类别：分类描述中英文，选项：分类的具体选项中英文</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Global</td>
+ <td style={{ whiteSpace: 'nowrap' }}>Label Classification</td>
+ <td>Category: Bilingual description of the category; Options: Bilingual specific options for classification</td>
</tr>
<tr>
<td></td>
- <td>文本描述</td>
- <td>文本列表：包括文本描述名称中英文，文本设置：包括最大字数和默认文本</td>
+ <td>Text Description</td>
+ <td>Text List: Includes bilingual names of the text descriptions; Text Settings: Include maximum word count and default text</td>
</tr>
<tr>
- <td>标记</td>
- <td>片段分割</td>
- <td>配置分类：中文和英文</td>
+ <td>Annotation</td>
+ <td>Segment Division</td>
+ <td>Configuration Category: In both Chinese and English</td>
</tr>
<tr>
<td></td>
- <td>时间戳</td>
- <td>配置分类：中文和英文</td>
+ <td>Timestamps</td>
+ <td>Configuration Category: In both Chinese and English</td>
</tr>
</tbody>
</table>
<img src={audioConfig} />
-同时，标记类工具可支持配置属性信息，如分类属性和文本属性。完成配置后点击右上角「保存」按钮即可。
+At the same time, labeling tools can support attribute information configuration, such as category attributes and text attributes. After completing the configuration, click on the "Save" button at the top right corner.
<img src={audioAttributeConfig} />
-**注：** 在配置过程中也可以点击右上角的「进入预览」按钮来预览配置好的标注页面。
+**Note：** During the configuration process, you can also click the "Enter Preview" button in the upper right corner to preview the configured annotation page.
diff --git a/src/pages/guide.task-create.basic/markdown_en-US.mdx b/src/pages/guide.task-create.basic/markdown_en-US.mdx
index 274ee8f2..44f9c024 100644
--- a/src/pages/guide.task-create.basic/markdown_en-US.mdx
+++ b/src/pages/guide.task-create.basic/markdown_en-US.mdx
@@ -1,16 +1,16 @@
import noTask from './no-task.png';
import basicConfig from './task-basic-config.png';
-## 任务配置
+## Basic Configuration
-1. 在「任务列表」主页点击「新建任务」的按钮来跳转至「新建任务」的「基础配置」页面。
+1. Click on the "New Task" button on the "Task List" home page to jump to the "Basic Configuration" page of "New Task".
<img src={noTask} />
-2. 填写完成「任务名称」，勾选完成「数据类型」，可选择图片，视频，音频三种类型，选填完成「任务描述」和「任务提示」后点击右上角「下一步」按钮来保存基础配置信息并进入「数据导入」页面。
+2. Fill in the "Task Name", check the "Data Type" (you can choose from image, video, or audio), optionally fill in the "Task Description" and "Task Tips". Then click the "Next" button in the upper right corner to save the basic configuration information and enter the "Data Import" page.
<img src={basicConfig} />
-**注：** 填写的「任务提示」会显示在「开始标注」页面的右上角来为标注人员提供提示帮助，标注人员可点击「任务提示」按钮来查看在基础配置中填写的信息。
+**Note：** The "Task Tips" filled in will be displayed in the upper right corner of the "Start Annotation" page to provide tips for the annotator. Annotators can click the "Task Tips" button to view the information filled in during basic configuration.
diff --git a/src/pages/guide.task-create.basic/markdown_zh-CN.mdx b/src/pages/guide.task-create.basic/markdown_zh-CN.mdx
index 274ee8f2..4ed45db9 100644
--- a/src/pages/guide.task-create.basic/markdown_zh-CN.mdx
+++ b/src/pages/guide.task-create.basic/markdown_zh-CN.mdx
@@ -1,7 +1,7 @@
import noTask from './no-task.png';
import basicConfig from './task-basic-config.png';
-## 任务配置
+## 基础配置
1. 在「任务列表」主页点击「新建任务」的按钮来跳转至「新建任务」的「基础配置」页面。
diff --git a/src/pages/guide.task-create.data-import/markdown_en-US.mdx b/src/pages/guide.task-create.data-import/markdown_en-US.mdx
index f05c26b5..64583a63 100644
--- a/src/pages/guide.task-create.data-import/markdown_en-US.mdx
+++ b/src/pages/guide.task-create.data-import/markdown_en-US.mdx
@@ -2,24 +2,24 @@ import imageImport from './image-import.png';
import videoImport from './video-import.png';
import audioImport from './audio-import.png';
-## 数据导入
+## Data Import
-### 图片导入
+### Image Import
-点击「上传文件」，文件类型包括jpg，png，bmp，gif，或「上传文件夹」按钮，右侧显示上传成功后，再点击「下一步」保存并进入「标注配置」页面。
+Click "Upload File" (file types include jpg, png, bmp, gif) or "Upload Folder". After successful upload is displayed on the right side, click "Next" again to save and enter the "Annotation Configuration" page.
-**注：** 目前数据导入仅支持本地数据导入，支持文件或文件夹导入两种方式。单次上传文件最大数量为100个，单个文件大小不超过100MB。
+**Note：** Currently, data import only supports local data import. It supports file or folder import in two ways. The maximum number of files uploaded at one time is 100, and the size of a single file should not exceed 100MB.
<img src={imageImport} />
-### 视频导入
+### Video Import
-点击「上传文件」，文件类型包括MP4，或「上传文件夹」按钮，右侧显示上传成功后，再点击「下一步」保存并进入「标注配置」页面。
+Click "Upload File" (file type includes MP4) or "Upload Folder". After successful upload is displayed on the right side, click "Next" again to save and enter the "Annotation Configuration" page.
<img src={videoImport} />
-### 音频导入
+### Audio Import
-点击「上传文件」，文件类型包括MP3，wav，ogg，或「上传文件夹」按钮，右侧显示上传成功后，再点击「下一步」保存并进入「标注配置」页面。
+Click "Upload File" (file types include MP3, wav, ogg) or "Upload Folder". After successful upload is displayed on the right side, click "Next" again to save and enter the "Annotation Configuration" page.
<img src={audioImport} />