Data annotation is a critical component of training machine learning models. The quality of annotated data directly impacts the performance of AI models. To ensure high-quality annotations, it is essential to provide clear and effective annotation guidelines to annotators (human and otherwise). Let’s see what the key principles for...
One of the biggest technical revolutions that changed the world for the better is speech recognition features. Speech recognition is the ability of a machine to understand human speech. This feature or service not only allowed humans to save time and made things far easier, but it also gave...
Artificial intelligence is rapidly transforming the way we live and work. This magical sentient being is now found in every aspect of our lives, education or research. From self-driving cars to virtual assistants, AI is being used to automate tasks, make predictions, and improve decision-making. And let’s not forget...
Data labeling is the process of assigning labels to data so that it can be used to train machine learning models. This is a critical step in the development of AI-powered applications, as it ensures that the models are trained on accurate and relevant data. There are two ways...
With the advancement of AI in the present world, every sector is looking for the best services in the market. Among the many sectors, data labeling and image annotation is the most commonly used feature. These two services are required by various sectors like education, automotive, retail, agriculture, sports,...