The technique of managing desired information from online platforms such as social media networking sites is known as content moderation. It’s also known as social… Read More »Top Social Media Content Moderation Trends that Will Reign Supreme in 2022
The discipline of data annotation and labeling is growing in popularity and significance throughout the world. The global market for data annotation tools is expected… Read More »Outsourcing Data Annotation Work
In today’s time, fashion interpretation and analysis have been a hot issue in the computer vision field. Fashion is a perfect subject to employ various… Read More »Polygon Annotation in Fashion for Image Segmentation
Intent classification is also known as intent recognition is a branch of Natural Language Processing that focuses on categorizing text into various groups in order… Read More »Business Effects of Intent Classification in NLP
Machine learning model structuring and processing is not as easy as it may sound. Without the availability of required data, it is difficult to imagine… Read More »CVAT Annotation
We are aware of how autonomous or driverless vehicles process vast amounts of data to develop the sense of their environment. Computer vision is one… Read More »Sources of Training Data for Computer Vision Annotation
Content moderation has made the digital world safe and secure for online users to browse, share, post and comment in different forms and expose their… Read More »Implementing Content Moderation Techniques and Practices
Named entity recognition or NER is popularly used in NLP tasks in machine learning models. In the world, where textual information is generated every millisecond… Read More »NER or Named Entity Recognition Usage in NLP Tasks
Used in unsupervised machine learning tasks, Topic Modeling is treated as a form of tagging and primarily used for information retrieval wherein it helps in… Read More »Topic Modeling: Algorithms, Techniques, and Application
Machine learning models make use of training datasets for predictions. And, thus labeled data is an important component for making the machines learning and interpret… Read More »Data Labeling for Machine Learning Models
