Jinglian Technology - Multimodal Data Collection

One-stop Data Service

Data Source

Provides multi-scenario automated/manual raw data collection capabilities, covering full-modal data sources including text, images, audio, video, etc. Based on an intelligent annotation engineering platform, it enables end-to-end data processing, covering stages such as cleaning, annotation, enhancement, and quality inspection, outputting high-quality structured training corpora.

Data Collection

Provides multi-scenario automated/manual raw data collection capabilities, covering full-modal data sources including text, images, audio, and video. Based on an intelligent corpus engineering platform, it enables end-to-end data processing, encompassing cleaning, annotation, enhancement, quality inspection, and other stages, outputting high-quality structured training corpora.

Preprocessing

Provides multi-scenario automated/manual raw data collection capabilities, covering full-modal data sources including text, images, audio, video, etc. Implements end-to-end data processing based on an intelligent annotation engineering platform, encompassing cleaning, labeling, enhancement, quality inspection, and other stages, outputting high-quality structured training corpora.

Data Annotation

Provides multi-scenario automated/manual raw data collection capabilities, covering full-modal data sources such as text, images, audio, and video. Based on an intelligent data engineering platform, it enables end-to-end data processing, encompassing cleaning, annotation, enhancement, quality inspection, and other stages, outputting high-quality structured training data.

Data Enhancement

Provides multi-scenario automated/manual raw data collection capabilities, covering full-modal data sources such as text, images, audio, and video. Based on an intelligent annotation engineering platform, it enables end-to-end data processing, covering stages including cleaning, annotation, enhancement, and quality inspection, and outputs high-quality structured training datasets.

Data Productization

Provides multi-scenario automated/manual raw data collection capabilities, covering full-modal data sources such as text, images, audio, and video. Based on an intelligent annotation engineering platform, it enables end-to-end data processing, encompassing cleaning, labeling, enhancement, quality inspection, and other stages, outputting high-quality structured training datasets.

Requirement Types

Provides multi-scenario automated/manual raw data collection capabilities, covering full-modal data sources such as text, images, audio, and video. Based on an intelligent corpus engineering platform, it enables end-to-end data processing, encompassing cleaning, annotation, enhancement, quality inspection, and other stages, outputting high-quality structured training corpora.

Data Application and Operations

Provides multi-scenario automated/manual raw data collection capabilities, covering full-modal data sources such as text, images, audio, and video. Based on an intelligent annotation engineering platform, it enables end-to-end data processing, encompassing cleaning, labeling, enhancement, quality inspection, and other stages, outputting high-quality structured training datasets.

Data Collection Annotation

Image and Video Collection

Vehicle License Plate

Facial Recognition

Action and Expression

Smoke and Fire Detection

Driving Behavior

Gesture and Gait

Fingerprints and Palm Prints

Fighting and Smoking

Street Violence Overflowing the Roads

Sleeping in Temples, Leaving Temples

Re-ID

X-ray Prohibited Items

Sweeping Robot

Occupying the Road for Business Operations

Electric Vehicle Charging Pile

Voice collection

Dialect pronunciation

Children's audio

Vehicle-mounted voice

Multi-person dialogue

ASR Collection

Wake Words

Far-field and Near-field Speech

TTS Collection

Mandarin Collection

Dialect Phonetics

Text Collection

Human-Machine Interaction

Multilingual Text Data

Chat Dialogue

Sentence Generalization

Knowledge Base

Collecting Invoices and Receipts

Sentence Writing

Named Entity

Parallel Corpus

Multilingual Speech OCR

Sweeping Robot

Road Occupation Management

Electric Vehicle Elevator

Sports and Health Collection

Blood Oxygen

Blood Sugar

Heart Rate

Sleep

Blood Pressure

Hemoglobin

Electrocardiogram

Sleep Apnea

Ear Temperature

Computer Vision

Semantic Segmentation

Image Classification

Line Segment Annotation

Instance Segmentation

3D Bounding Box Annotation

Polygon Annotation

Rectangle Bounding Box Annotation

Key Point Annotation

OCR Annotation

Keyframe Continuous Frame

Natural Language Processing

OCR Rewriting Words

Named Entity Recognition

Emotion Judgment

Sentence Generalization

Part-of-speech tagging

Semantic role labeling

Intent matching

English annotation

Voice Interaction

ASR Transcription

Emotion Judgment

Rhythm Annotation

Pronunciation Verification

Speech Segmentation

Phonetic Annotation

Voiceprint Recognition

Speech Cleaning

3D Point Cloud

Point Cloud Object Detection Annotation

Point Cloud Semantic Segmentation Annotation

Point Cloud Continuous Frame Annotation

2D3D Fusion Annotation

Data
Collection

Data
Annotation

Large Model Data Annotation

Information Extraction

Dialogue Rewriting

Video Scene Transformation

Semantic Role Understanding

Emotional Analysis

Intent Recognition

Large Model Error Correction

Feedback Enhancement

Expert
Talent Annotation

Multi-collar city professional knowledge confidentiality

Artificial Intelligence Trainer

3-10 Years of Industry Experience

Frontier Annotation Comment Testing Techniques

20+ Professional Types

AI Data
Engineering Platform

Automated Annotation Capability

Intelligent Data Preprocessing

Custom Workflow

Delivery Quality 98%

Information
Security Management Solution

Intelligent Data Quality Assessment

Automated Label Pre-generation Tool

Intelligent Architecture

Data Security Protection

Employee Safety Protection

Real-time Monitoring Management

At the data layer, configure dedicated internet lines and dual-line setups, implementing multi-layer encryption and access permission restrictions; at the physical layer, establish fingerprint access control systems, independent project workspaces, and ensure business isolation for confidentiality.

Signing confidentiality agreements and assisting with information security training
Undergoing network information security examinations to strengthen information security awareness

24/7 round-the-clock offline monitoring
Ensuring information security with no blind spots and no leaks

Data Collection and Annotation Base

Possessing two high-quality data collection and annotation bases as well as human resources, flexibly responding to different client needs. Talent accumulation, professional capabilities far surpass those of outsourcing.

Guiyang Multimodal Data Collection Center

2,000 square meters of office space, equipped with 10+ functional collection areas, supporting sports and health data collection, image collection, speech collection, text collection, etc., delivering high-quality datasets through resources such as schools, hospitals, and communities.

Cost Reduction

Project

Chongqing Annotation Factory

Undertakes four major business directions: annotation, autonomous driving, large models, and audit projects. The office area covers 1,200 square meters, configured with 4 independent zones, 4 meeting rooms, and one training classroom, capable of simultaneously accommodating up to 200 people working at the same time.

Cost Reduction

Project

Service Guarantee System

Through ISO27001 and ISO27701 international system certifications, implementing the "Personal Information Classification and Grading Management Plan" to protect data subjects and user data privacy and security, establishing a data security protection system based on the principles of "minimum privilege," "authorized access," "data non-landing," and "centralized management and control," ensuring comprehensive security for office premises and data production.

Service Process

Submit
requirements

collect data

Evaluate and approve the plan

screening and review

abandoned

pre-labeling

manual annotation

quality inspection

First round of quality inspection

Re-labeling for non-conforming items

First round of quality inspection

Re-labeling for non-conforming items

First round of quality inspection

Re-labeling for non-conforming items

Submit
requirements

Customer Case

Mobile Phone Manufacturer - Aesthetic Material Annotation

To address specific aesthetic image or video style requirements, focusing on dominant color tones, composition methods, lighting characteristics, etc., collect (color application, photography composition), filter, and annotate (composition methods, lighting characteristics, style genre features, etc.) high-quality images, primarily used for mobile phone manufacturers' machine learning model training and visual aesthetic analysis.

Intelligent Terminal Manufacturer - PPG Sports Data Collection

The client needs to collect 35 types of PPG sports data, including professional activities such as mountain climbing, outdoor cycling, and frog swimming. Jinglian Wentong quickly identifies and reserves professional data collectors through high-frequency updates of the work schedule, equips them with professional supervisors, and develops comprehensive safety strategies, such as permission control, data encryption, audit logs, etc., to ensure data security, with accuracy exceeding customer requirements.

National Laboratory - Remote Sensing Image Segmentation Annotation

The customer focuses on 0.1-meter-level ultra-high-resolution satellite and drone remote sensing images, requiring pixel-level segmentation annotation of 18 categories of ground features. Through the 'resolution-feature dual-pole consistency' principle, a single category's minimum target of 3×3 pixels can be stably identified. Combined with human-machine collaborative cost reduction and efficiency enhancement, a specialized quality assessment system for remote sensing segmentation is constructed. This system outputs a comprehensive quality score based on three-level indicators: 'pixel-object-scene,' achieving 'simultaneous annotation, evaluation, and iteration.'