New Generation AI Common Infrastructure

New generation data-driven AI infrastructure, with a stronger data intelligence platform, helps great companies easily master future-oriented digital intelligence operations

Enterprise Platform Products and Services

One-stop generic AI solutions are provided from strategy to technology, from data to algorithm, enabling enterprise digitization and intelligence

Data Life Cycle Management
Data Life Cycle Management
The full stack data intelligence service platform provides services including data collection, data labeling, data processing, project management and so on, covering the core of data production and management
Multi-Source Heterogeneous Data Management
Multi-Source Heterogeneous Data Management
A new generation of data management platform, providing services such as data escrow visualization, version management, sharing transactions, etc., resolves problems such as massive multi-source heterogeneous data storage and circulation, and enables data to release more value
AutoML Platform
AutoML Platform
Universal algorithm training platform, no need to build a team of AI engineers, 0 code, 5 minutes to get customized AI models, and support easy deployment to the cloud, various edge computing or end devices

Provide Services for Model Applications

With data intelligence as the core, driven by the realization of user value, accelerate iteration and update of algorithmic model application
Full Stack Data Platform
Full Stack Data Platform
Accelerate the implementation of model applications
Data Stream Combing
Data Stream Combing
Life cycle management of data
Self-Driven Embedded AI
Self-Driven Embedded AI
Supported by algorithms
Data Value Flow
Data Value Flow
Data resource multiplex and idle data realization
Enterprise Management and Synergy
Enterprise Management and Synergy
Precise control and sharing of data permissions
AutoML
AutoML
Configure targets to achieve automated modeling
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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'height':null,

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{

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'status':'进行中'

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'height':null,

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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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14041,

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"

}

]

},

"width":null,

"createdTime":null,

"id":"497399293915185156",

"folderName":"",

"originStorageName":"1600151988902_7eznyo76ifkyiv19.pcd",

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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',

'feature':{

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'attrCodeList':[],

'ybr':'303.83',

'xbr':'353.13',

'points':[

{

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},

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'x':'353.1343',

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{

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},

{

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}

],

'attrs':[]

},

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'type':'BOX',

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'featureId':'markBox_1607680271589_1',

'labelCode':'汽车'

},

{

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'feature':{

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'attrCodeList':[],

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],

'attrs':[]

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'labelCode':'汽车'

},

{

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],

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},

{

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],

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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

{

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

'datasetName':'1',

'rejectNumber':'0',

'LabelDetail':{

'objects':[

{

'color':'#FF4436',

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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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'datasetName':'1',

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'featureId':'pointBox_1607753940947_8',

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'labelCost':'0',

'height':'438',

'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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'rejectNumber':'0',

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},

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},

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},

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},

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},

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'createdTime':null,

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'folderName':null,

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'height':853,

'status':'进行中'

}


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":{

"groupObject":[],

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Limited by space, only part of JSON data is shown

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"zindex":48,

"color":"#FF4436",

"feature":{

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},

"resultIndexNo":48,

"labelName":"车辆",

"type":"CONVEXHULL",

"labelCode":"车辆",

"featureId":"ConvexHull_1654746734584_3936"

}

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},

"width":null,

"createdTime":null,

"id":"497399293915185156",

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"projectName":"3D语义分割",

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"height":null,

"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

{

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

'datasetName':'1',

'rejectNumber':'0',

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'attrCodeList':[],

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'points':[

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{

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},

{

'x':'323.4859003420176',

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}

],

'attrs':[]

},

'rotationAngle':'0',

'type':'BOX',

'labelName':'汽车',

'featureId':'markBox_1607680271589_1',

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},

{

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'feature':{

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'attrCodeList':[],

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},

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],

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},

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},

{

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'feature':{

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],

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},

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},

{

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'feature':{

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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',

'LabelDetail':{

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},

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'labelCost':'0',

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'status':'已完成'

}


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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'rejectNumber':'0',

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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

Data Security

Security situation awareness platform and data security mid end continuously facilitate cloud security innovation to render data security visible, controllable and perceptible

01 Technical Architecture Layer

01 Technical Architecture Layer
Platform Security
Platform Security

▪  Cloud platform and container deployment for defense

▪  Support independent and private deployments and physical isolation


Storage Security
Storage Security

▪  Sensitive data stored in encryption to prevent data leakage

▪  Backup of redundant hot and cold data and disaster tolerance in different places to improve robustness

▪  Separate multi-enterprise data to reduce coupling


Link/Application Security
Link/Application Security

▪  Reject data sniffing by secondary encryption based on HTTPS

▪  User risk control system to monitor and deny account sharing, off-site login and other abnormal conditions

Security Monitoring
Security Monitoring

 ▪  Full-link monitoring, real-time alert for anomalies

 ▪  Monitor domestic and foreign bug platforms and respond quickly to 0day bugs


02 Business Layer

02 Business Layer
Delicate Permission Control
Delicate Permission Control

▪  Separate permissions of enterprise and project so as to avoid any confounding

▪  Customize permission scheme in a flexible and controllable way


Data
Data

▪  Support source data isolation to prevent data leakage

▪  Support immediate data destroy after deliver, leaving no risk


Join Hands With Outstanding Enterprises for the Bright Future

大疆
The data services of MindFlow are much more efficient and professional. With their help, unstructured data can be efficiently transformed into structured data.
Bilibili
Customized solutions effectively meet our project needs and achieve a true match between services and needs.
Netease Youdao
The accuracy of MindFlow's OCR project exceeded our expectations, not only saving valuable quality control time, but also directly improving the accuracy of the algorithm model.
TAL
Rapid response and execution, professional and efficient.


View More

Grow With Us

We believe that machine intelligence will become he most critical factor socially and economically in the coming decades. Innovative self-organizing technology will weave and form a highly complex and deep "Intelligence Interconnect" in multiple dimensions. Together with you, MindFlow looks forward to seeing a better future of AI.

R&D
R&D
Products
Products
Business
Business
HR
HR
Financial
Financial
Project
Project
Operations
Operations
GA
GA

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