28
MarData Annotation in Robotics: Shaping AI-Enabled Automation
Robotics is one of the most attractive technological sectors in the world, and for good reason. The creation & […]
25
MarVideo Annotation for AI: Unraveling Visual Information for ML Models
Artificial intelligence (AI) increasingly relies on visual information from self-driving cars to facial recognition software. Just like humans need[…]
14
MarData Annotation for Sentiment Analysis: Understanding Human Emotions
In today’s data-driven world, understanding human emotions through text is a new norm now. But, grasping emotional ordeals with[…]
06
MarData Annotation: The Backbone of Successful Machine Learning Models
Building an advanced machine learning model capable of performing its denoted task to the tee is a complicated process.[…]
24
FebEthical Considerations in Data Annotation for ML Applications
As machine learning, aka ML applications, become advanced and spread worldwide, from facial recognition software to self-driving cars, ethical[…]
06
FebTransfer Learning for Data Annotation Efficiency
Transfer learning is a machine learning data annotation technique where an AI model trained on one task is adapted[…]
