Main Purpose
The main purpose of Tasq.ai is to provide human guidance and data labeling at mass scale, specializing in improving and tuning ML model accuracy through data validation and computer vision solutions.
Key Features
- Human-in-the-loop review for validating the quality of datasets pre and post model training
- Generation of millions of human validations faster and more cost-effectively than other solutions
- Computer vision solutions for creating high-quality datasets for machine learning
- Improved model predictions and confidence levels through unmatched speed and accuracy in object recognition and identification
Use Case
- Improving and tuning machine learning model accuracy through data validation
- Creating high-quality datasets for computer vision applications
