Training Data

Smart NLP technology optimized the call center workflow and significantly decreased the number of violations by call center operators

Data collection improved the model’s performance in various street conditions by 85%.

The system allowed identifying weapons in 99% of images of people on the streets and indoors

Anti-Spoofing for a biometric access system reduced the number of missed attacks from 18% to 1%

Emotion Recognition helped a neural network detect emotions with 99% accuracy

Capturing various objects for a photo correction app led to advancements in the application’s object capture technology, resulting in improved ratings on aggregators

The customer observed a threefold increase in model performance using a smaller dataset for 3D Cuboids on LiDAR Clouds

Collaboration with Training Data helped to receive a trained neural network achieving high speech recognition accuracy of over 95%

Collaboration with Training Data enabled our client to annotate 10,000 articles within one month

Collaboration helped our client to train a neural network achieving 96% accuracy in identifying bank deposit-related queries

Thanks to the collaboration, the client improved compliance with the service’s user agreement by 27%

Collaboration improved neural network metrics for tracking people indoors via video by 14%

Through data collection, our client improved the biometric system for facial and voice recognition by 21%

Content moderation has improved KPIs for complaint processing and description verification, reducing fraud cases by 36%

Using the dataset, the client successfully passed ISO/IEC 30107 “Presentation Attack Detection” certification from iBeta Level 2 laboratory

Using the dataset, the client successfully passed ISO/IEC 30107 “Presentation Attack Detection” certification from iBeta Level 1 laboratory

Content moderation on the video hosting platform enabled a 99% reduction in the influx of prohibited content

Within one and a half weeks, our team managed to complete the entire ore annotation cycle and annotate 300 images

Development of a facial recognition system for identifying people at metro stations

Collected data improved accuracy of customer intent understanding by 8%

Crowdsourced data for gesture recognition improved model accuracy by 14%.

Product classification and images annotation helped to improve grocery store efficiency by 40%

Highly-specialized team of biologists helped to classify plant diseases for timely crop monitoring

Sentiment analysis and annotation best practices helped to increase efficiency 5 times

Annotate 3D models and LIDAR points to assist robots in preventing crashes through object detection