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...
Data annotation is utilized to help machine learning perform various tasks. This technique keeps the AI model updated with the recent changes as well as helps the model identify and handle its task accurately. This is done by labeling data (text, image, audio, and video) with relevant information. Data...
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...
Data annotation includes labeling data that can be both text and image. More specifically, it is known as image data annotation, including techniques like object classes, bounding boxes, and semantic segmentation. It is a crucial step in developing computer vision models, as the quality of the annotated data directly...
Machine learning is a type of artificial intelligence that allows computers to learn without being explicitly programmed. Machine learning is a set of algorithms that are trained on data. So, the better the quality of the data, the better the model will perform. This is where the data annotation...
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...
Learning Spiral Private Limited is a leading provider of data annotation and data labeling services in India. Through its advanced features and tools, Learning Spiral is committed to driving AI knowledge and fostering innovation in the nation. One of Learning Spiral’s thought leadership initiatives is its blog. The blog...
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,...
With the advancement in technology, the data labeling industry is rapidly evolving. Businesses from every sector are trying to maintain pace with the world when it comes to automated features and AI’s contribution. This has been boosting the requirements for data labeling companies rapidly. Due to the development of...