Audio Transcription
Datasets and Services for Training LLM
Image Annotation
Video Annotation
Text Annotation
Lidar Annotation
Crowdsourcing
MedTech Companies
Banking and Finance Industry
Biometric Data
E-commerce and Retail
Surveys and UX-Researches
Agriculture
Retail
Robotics
Augmented Reality
Finance
E-Commerce
Face Recognition System
Ore Annotation
Content Moderation on the Video
IBeta 1
IBeta 2
Data Collection for Face and Speech Recognition
Content Moderation
Video Systems and Video Analysis
Content Moderation in Recruitment Domain
Audio Labeling for Call Center
Data collection and video annotation: weapon detection on the streets
Image Annotation for Emotion Recognition
Data Сollection for Сity Administration
Liveness Detection
Annotation Photos for the Recognition System
Blog
Stages of Work
Become a Partner
Startup Program
Student Program
FAQ
USE CASE
Spam Messages Collection
Text datasets of emails of different formats for training a neural network to identify spam and classify messages
Machine Learning
Enables computer systems to automatically learn from data and make predictions
NLP
The ability of a system to understand, analyze and interpret human's languages
Safety
Training algorithms to recognize situations that can cause harm
Data Collection
Gathering data for subsequent annotation
Our Partners
CASE DESCRIPTION
SMS Spam ENG
- 10 000 emails
- 2 weeks
Data generation of unsolicited text messages, which includes promotional mailings, viral links, microfinance offers and other fraudulent schemes in English
Email Spam
- 15,000 messages
- 3 weeks
Data generation of emails and classification into two main classes: “spam” and “not spam”. E-mails with a length of 50 to 7,500 characters are written in different languages, designed in colloquial and official speech styles
APPLICATION AREAS OF THE DATASET
Email filtering:
Classification to separate spam emails from legitimate ones, identify and filter out unwanted messages
Anomaly detection:
Text classification to identify unusual or suspicious email patterns, detect and prevent email-based attacks
NLP research:
Data in the dataset for language modeling, sentiment analysis and improving the overall performance of NLP algorithms
Cybersecurity:
Classification for the overall security posture for individuals and organizations
DIDN'T FIND THE NECESSARY INFORMATION?
Leave a request for a free consultation and a test dataset!
Why
Training Data
- Quality Assurance:
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Enhanced Data Accuracy
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Consistency in Labels
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Reliable Ground Truth
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Mitigation of Annotation Biases
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Cost and Time Efficiency
- Data Security and Confidentiality:
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GDPR Compliance
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Non-disclosure agreement
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Data Encryption
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Multiple data storage options
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Access Controls and Authentication
- Expert Team:
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6 years in industry
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35 top project managers
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40+ languages
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100+ countries
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250k+ assessors
- Flexible and Scalable Solutions:
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24/7 availability of customer service
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100% post payment
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$550 minimum check
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Variable Workload
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Customized Solutions
Team leads project
Kirill Meshyk
Operations manager
Arthur Kazukevich
Python-developer
Ksenia Sikorskaya
Project manager
