How Do AI and ML Relate to AR and VR?
The progress of AR and VR has been steady rather than explosive as many predicted at the turn of the millennium. However, while most people have not yet set foot inside the Metaverse, we’ve witnessed a host of revolutionary AR...
6 Reasons Why an eCommerce Business Cannot Function Without Data Labeling
eCommerce is one of the world’s largest industries, forecast to account for 22% of all global retail sales by the end of 2023. The infrastructure required for smooth and efficient eCommerce has evolved to support this growth. Online shops are now extremely...
Definitive Guide to Computer Vision in AI
Artificial intelligence (AI) has risen from a fringe concept in sci-fi to one of the most influential technologies conceived. Building systems that can understand visual information has been a cornerstone of AI research and development. This allows machines to ‘see’...
What Is the Role of Opinion Mining/Sentiment Analysis in NLP?
Natural language processing (NLP) is one of the cornerstones of artificial intelligence (AI) and machine learning (ML). NLP aims to teach computers to process and analyze large amounts of human language data. One of the primary applications of NLP is...
What Is Audio Transcription and How Does It Relate to Data Labeling?
Audio transcription is the process of converting unstructured audio data, such as recordings of human speech, into structured data. Artificial intelligence (AI) and machine learning (ML) algorithms require structured data to perform various tasks involving human speech, including speech recognition,...
Semantic Segmentation for Computer Vision Projects Explained
Semantic segmentation is an image-labeling technique to create data for supervised computer vision (CV) models. In its simplest terms, the objective is to assign a class label to each pixel in an image. For example, if you’re labeling a cat...
Bounding Boxes in Computer Vision: Uses, Best Practices for Labeling, and More
Bounding boxes are rectangular region labels used for computer vision (CV) tasks. In supervised machine learning (ML), an object detection model uses bounding box labels to learn about the contents of an image. The bounding box labels objects or features of interest...
What Is Polygon Annotation and How Does it Work?
Polygon annotation is an essential labeling technique for supervised computer vision (CV). Objects are labeled with polygon annotations to create a dataset, which is fed into a supervised CV model. The model learns from the annotations, enabling it to predict...
What is Video Annotation for AI?
Computer vision (CV) was formerly focused on identifying and classifying information from still images but has now evolved to respond to complex video data. Video annotation has emerged as a critical component for developing AI applications that understand and respond...
The Most Important Natural Language Processing (NLP) Techniques Explained
Do you struggle to optimize your website’s keywords for search engine ranking? Are you tired of manually analyzing and selecting keywords for your content? Natural Language Processing (NLP) techniques may be your solution. NLP is a branch of artificial intelligence...