Data Annotation

Rapid conversion of unstructured data into high-quality 

structured data helps AI easily cross industry divides

Data Annotation
Annotation Types

'We customize the workflow data labeling scheme for human-machine integration to meet your labeling project requirements'

Computer Vision
Voice Interaction
NLP
3D Point Cloud Continuous Frame
3D Point Cloud Continuous Frame
3D Point Cloud Segmentation
3D Point Cloud Segmentation
2D Box
2D Box
Polygon
Polygon
Semantic Segmentation
Semantic Segmentation
3D Cubic Box
3D Cubic Box
Key Point
Key Point
Polyline
Polyline
ASR
ASR
TTS
TTS
Named Entity Recognition/ NER
Named Entity Recognition/ NER
OCR
OCR
Text Classification
Text Classification


Task Name:

3D Point Cloud Continuous Frame


Task Requirements:

Label vehicles, pedestrians, and other objects in 3D point cloud continuous frame data

The driving direction of the vehicle needs to be marked

Track IDs of the same object are identical


请输入文本内容

JSON RESPONSE

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}


View Data

3D Point Cloud Continuous Frame
3D Point Cloud Continuous Frame

Task Name:

3D Point Cloud Segmentation


Task Requirements:

Label all objects in 3D point cloud data

请输入文本内容

JSON RESPONSE

{

"updatedTime":null,

"datasetName":"道路安全",

"rejectNumber":null,

"LabelDetail":{

"groupObject":[],

"objects":[

{

"convexHullPoints":[

14039,

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Limited by space, only part of JSON data is shown

49149,

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"zindex":48,

"color":"#FF4436",

"feature":{

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"attrs":[]

},

"resultIndexNo":48,

"labelName":"车辆",

"type":"CONVEXHULL",

"labelCode":"车辆",

"featureId":"ConvexHull_1654746734584_3936"

}

]

},

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"height":null,

"status":"进行中"

}

View Data

3D Point Cloud Segmentation
3D Point Cloud Segmentation

Task Name:

Vehicle Object Detection


Task Requirements:

Use the 2D box labeling tool to label the vehicles in the image


请输入文本内容

JSON RESPONSE

{

'updatedTime':'2020-12-11T17:53:01.713',

'datasetName':'1',

'rejectNumber':'0',

'LabelDetail':{

'objects':[

{

'color':'#FF4436',

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'attrCodeList':[],

'ybr':'303.83',

'xbr':'353.13',

'points':[

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],

'attrs':[]

},

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'featureId':'markBox_1607680271589_1',

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},

{

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'feature':{

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},

{

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{

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'labelCost':'0',

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'status':'已完成'

}


View Data

2D Box
2D Box

Task Name:

Vehicle Polygon Labeling


Task Requirements:

Use the polygon labeling tool to label the vehicles in the image


请输入文本内容

JSON RESPONSE

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'updatedTime':'2020-12-12T13:47:44.302',

'datasetName':'1',

'rejectNumber':'0',

'LabelDetail':{

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View Data

Polygon
Polygon

Task Name:

Autonomous Driving Panoramic Semantic Segmentation


Task Requirements:

Use the polygon labeling tool to label all objects in the image 

Unlabled objects or overlapped parts are not allowed 


请输入文本内容

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View Data

Semantic Segmentation
Semantic Segmentation

Task Name:

Vehicle Object Detection


Task Requirements:

Use the 3D cubic box labeling tool to label the vehicles in the image


请输入文本内容

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View Data

3D Cubic Box
3D Cubic Box

Task Name:

Face Key Point Labeling


Task Requirements:

Use the key point labeling tool to label 21 key point locations of the face


请输入文本内容

JSON RESPONSE

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'labelCost':'0',

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'status':'已完成'

}


View Data

Key Point
Key Point

Task Name:

Lane Line Labeling


Task Requirements:

Use the polyline labeling tool to label lane lines in the image 

Polylines need to be labeled along the outer boundary of the lane


请输入文本内容

JSON RESPONSE

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},

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},

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'createdTime':null,

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}


View Data

Polyline
Polyline
请输入文本内容

JSON RESPONSE

View Data

Named Entity Recognition/ NER
Named Entity Recognition/ NER

“对不同人的说话内容进行转写”

请输入文本内容

JSON RESPONSE

View Data

ASR
ASR


Task Name:

3D Point Cloud Continuous Frame


Task Requirements:

Label vehicles, pedestrians, and other objects in 3D point cloud continuous frame data

The driving direction of the vehicle needs to be marked

Track IDs of the same object are identical


请输入文本内容

JSON RESPONSE

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'height':'0.5741177129745483',

'points':[],

'attrs':[]

},

'resultIndexNo':58,

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'type':'POINTCLOUD',

'labelCode':'行人',

'featureId':'BoxGeometry_1629279057780_6579'

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],

'mappingObject':[

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{

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View Data

3D Point Cloud Continuous Frame
3D Point Cloud Continuous Frame

对图中的文字信息进行文字识别”

请输入文本内容

JSON RESPONSE

View Data

OCR
OCR

“对说话内容进行合成转写”

请输入文本内容

JSON RESPONSE

View Data

TTS
TTS

Task Name:

3D Point Cloud Segmentation


Task Requirements:

Label all objects in 3D point cloud data

请输入文本内容

JSON RESPONSE

{

"updatedTime":null,

"datasetName":"道路安全",

"rejectNumber":null,

"LabelDetail":{

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Limited by space, only part of JSON data is shown

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"color":"#FF4436",

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"type":"CONVEXHULL",

"labelCode":"车辆",

"featureId":"ConvexHull_1654746734584_3936"

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"status":"进行中"

}

View Data

3D Point Cloud Segmentation
3D Point Cloud Segmentation

“按照文本类型对文本进行分类”

请输入文本内容

JSON RESPONSE

View Data

Text Classification
Text Classification

Task Name:

Vehicle Object Detection


Task Requirements:

Use the 2D box labeling tool to label the vehicles in the image


请输入文本内容

JSON RESPONSE

{

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'datasetName':'1',

'rejectNumber':'0',

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'attrCodeList':[],

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},

{

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],

'attrs':[]

},

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'type':'BOX',

'labelName':'汽车',

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},

{

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'attrCodeList':[],

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{

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},

{

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'labelCost':'0',

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}


View Data

2D Box
2D Box

Task Name:

Vehicle Polygon Labeling


Task Requirements:

Use the polygon labeling tool to label the vehicles in the image


请输入文本内容

JSON RESPONSE

{

'updatedTime':'2020-12-12T13:47:44.302',

'datasetName':'1',

'rejectNumber':'0',

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}


View Data

Polygon
Polygon

Task Name:

Autonomous Driving Panoramic Semantic Segmentation


Task Requirements:

Use the polygon labeling tool to label all objects in the image 

Unlabled objects or overlapped parts are not allowed 


请输入文本内容

JSON RESPONSE

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View Data

Semantic Segmentation
Semantic Segmentation
ASR
TTS
Named Entity Recognition/ NER
Named Entity Recognition/ NER
OCR
OCR
Text Classification
Text Classification
AI-Driven Pre-Annotation

High-precision pre-labeling algorithm, let AI free your hands

Face Recognition
/Private/g4/M00/35/56/CgAG0mHhCGeAWIR6AH4w3QWB4zw656.mp4
请输入文本内容
Face Recognition
Face Recognition
ASR
/Private/g4/M00/33/A8/CgAG0mHZYGiAdQxKAAWm_q5Db7c484.mp4
请输入文本内容
ASR
ASR
3D Point Cloud Auto Keyframing
/Private/g4/M00/33/A8/CgAG0mHZYDeAb1uRAFe2Q_rXNdg789.mp4
请输入文本内容
3D Point Cloud Auto Keyframing
3D Point Cloud Auto Keyframing
Vehicle Identification
/Private/g4/M00/33/A8/CgAG0mHZYFqAKybjAGJMY2_vNT8674.mp4
请输入文本内容
Vehicle Identification
Vehicle Identification
Face Identification
/Private/g4/M00/33/A8/CgAG0mHZYB2AKsUdAGHDHYNa_W4423.mp4
请输入文本内容
Face Identification
Face Identification
18 Types of Pre-Trained AI
API Open Interface
Self-Training Module
Service Process

Continuously Provide You With Personalized Data Labeling Solutions

Relying on the operation mode of the customized special service scheme and man-machine collaborative project, we can completely remove the shackles of data intelligence and help release more application potential of data

Raw Data
Raw Data
Personalized
Personalized
Customization Data Preprocessing
Customization Data Preprocessing
Data Mid-End
Data Mid-End
Flexible Supply Chain
Flexible Supply Chain
Human-Machine Collaboration
Human-Machine Collaboration
Quality Monitoring
Quality Monitoring
Structured Data
Structured Data
Why Choose Us
AI Human-Machine Synergy
AI Human-Machine Synergy

AI nested self-driving for dual efficiency and quality improvement

Personalized Solutions
Personalized Solutions

One-stop data solution from strategy to technology

Full Scene Data Processing
Full Scene Data Processing

Full coverage of vertical scenes such as auto-driving, smart security, etc.

Strict Quality Control
Strict Quality Control

Multidimensional quality inspection workflow, data delivery accuracy rate over 99.9%

Data Security Protection System
Data Security Protection System

Closed-loop system for data security control and life cycle management

Flexible Supply Chain
Flexible Supply Chain

Safe, flexible and low-cost data delivery guarantee mechanism

Exclusive Technical Barriers
Bidirectional Data Output Capability
Bidirectional Data Output Capability

JSON-MASK bi-directional data export in panoramic semantics split mode is supported. The same data only needs to be labeled once to output structured data in two different formats

Full Data Format Adaptation
Full Data Format Adaptation

Fully support the import and processing of JEPG, TIFF, PNG, RAW, BMP and other image data as well as other video and voice data, and also supports the export of json, xml, csv, xls and other data formats

Visual Project Control
Visual Project Control

Visualize the data production process, end the previous project black box operation mode, one-click positioning workflow, one-click online real-time acceptance

Customize To Meet Your Labeling Project Needs