Blog
How to Evaluate a Data Annotation Vendor
When a company decides to implement machine learning in its products or processes, one of the first and most important stages is data labeling. It…
How to Draft Annotation Guidelines for Annotators?
In the era of rapid development of artificial intelligence and machine learning, the quality of training data is becoming a critical factor for the success…
Top Data Annotation Companies in the USA: 2025 Edition
AI systems become more advanced and widespread. Today, they power everything – from e-commerce search engines and financial transactions to chatbots and even medical diagnostics.…
Data Annotation Quality: How to Ensure Accurate Labeling and Stability of AI Models
In the machine learning industry, the quality of data annotation is not just a technical detail. It is the foundation on which models are built…
How to design your data annotation pipeline?
In machine learning and AI workflows, everything starts with labelled data. Today, you can use hundreds of datasets to train and test models, from the…
What is Semantic Segmentation and Why Does It Matter?
Semantic segmentation is one of the critical technologies that helps computers “see” and understand visual content in the same way humans do. It plays a…
How to Use Unlabeled Data in Machine Learning
The increasing availability of raw data from various sources (such as the Internet of Things (IoT), social networks, and sensors) forces researchers and practitioners to…
Mean Average Precision (mAP): Is It the Same as Average Precision?
In computer vision and machine learning (ML) domains, terms related to evaluating the performance of models are becoming increasingly necessary. One of these key indicators…
How OCR Data Extraction Transforms Document Processing
As the amount of information grows, it becomes increasingly difficult for businesses to manage document flows effectively. Paper documentation standards are gradually becoming a thing…