Virtual assistants, usually present as customer support bots by artificial intelligence on websites, have become increasingly familiar in our lives. Aside from assisting visitors on sites or answering queries, these assistants help set alarms and control smart home devices. These AI-powered companions rely on a crucial element for success:...
The ever-growing field of AI relies heavily on data. Supervised learning, a dominant approach, thrives on labeled data where information is meticulously categorized for algorithms to learn patterns. However, acquiring this labeled data can be a significant hold-up.  This is where unsupervised learning steps in, offering a powerful alternative...
Object detection, a branch of computer vision, empowers machines to identify and locate objects within images or videos. This technology is a wonderful alternative to numerous applications, from self-driving cars to facial recognition software.  But for object detection models to function effectively, they require a crucial ingredient: labeled data....
Data annotation, the meticulous process of labeling data for AI training, is often seen as a tedious back-end task. However, the quality of annotations directly impacts the performance and effectiveness of AI models.  To bridge this gap, Human-Centric Design (HCD) offers a powerful approach to develop data annotation tools...