Autonomous vehicles are still working towards reaching the stage of full autonomy. A fully functioning and safe autonomous vehicle must be competent in a wide range of machine learning processes before it can be trusted to drive on its own. From processing visual data in real-time to safely coordinating with other vehicles, the need forContinue reading “Data Annotation Types to execute Autonomous Driving”
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Training Data for Natural Language Processing
The spoken words you use in regular interactions with other people are known as natural language. Machines could not comprehend it not long ago. However, data scientists are already working on artificial intelligence systems that can comprehend natural language, opening the door to enormous potential and future advances. What is Natural Language Processing? Software withContinue reading “Training Data for Natural Language Processing”
Different types of Chatbots driving Automation
A chatbot is an AI-powered software that can effectively communicate with people in a lucid and intelligent manner. A chatbot stimulates communication through messaging applications, websites, mobile apps, or smartphone assistants like Ok Google or Siri. Thus, a chatbot represents the closest interface of communication between a man and a machine. This article will helpContinue reading “Different types of Chatbots driving Automation”
What is Good Quality Training Dataset for Machine learning
Training data is the key input to machine learning and having the right quality and quantity of data sets is important to get accurate results. In the planning stages of a machine learning problem, the team is usually excited to talk about algorithms and deployment infrastructure. Much effort is spent discussing the tradeoffs between variousContinue reading “What is Good Quality Training Dataset for Machine learning”
Text Analytics: Unlocking the power of Business Data
Due to the development in the use of unstructured text data, both the volume and diversity of data used have significantly increased. For making sense of such huge amounts of acquired data, businesses are now turning to technologies like text analytics and Natural Language Processing (NLP). The economic value hidden in these massive data setsContinue reading “Text Analytics: Unlocking the power of Business Data”
How Computer Vision is making Robots smart
Robotic systems have proven to be incredibly adept at selecting, organizing, arranging, and cataloging products on the production line or in retail settings. The field of robotics is expanding its permitted operating space. Robots can now work more quickly on the assembly line and in brand-new settings like supermarkets, hospitals, and restaurants thanks to machineContinue reading “How Computer Vision is making Robots smart”
Data Augmentation for Computer Vision
When given enough training data, machine learning algorithms can do amazing feats. Unfortunately, many applications still struggle to access high-quality data. Making copies of current data and making small modifications to them is one method for increasing the diversity of the training dataset. This is referred to as “data augmentation.” Data augmentation is a low-costContinue reading “Data Augmentation for Computer Vision”
Introduction to Object Detection for Computer Vision and AI
Humans can easily detect and identify objects present in an image. The human visual system is fast and accurate and can perform complex tasks like identifying multiple objects and detecting obstacles with little conscious thought. With the availability of large amounts of data, faster GPUs, and better algorithms, we can now easily train computers toContinue reading “Introduction to Object Detection for Computer Vision and AI”
Data Collection for Machine Learning and AI
In order to build intelligent applications capable of understanding, machine learning models need to digest large amounts of structured training data. Gathering sufficient training data is the first step in solving any AI-based machine learning problem. Data collection means pooling data by scraping, capturing, and loading from multiple sources including offline and online sources. HighContinue reading “Data Collection for Machine Learning and AI”
Image Annotation: A Quick Guide
What is image annotation? Image annotation is defined as the task of labeling and image with human-powered work and, in some cases, computer-assisted assistance. Labels are predetermined by a machine learning engineer and are chosen to provide information to the computer vision model. Image annotation frequently requires manual work. A Machine Learning engineer determines theContinue reading “Image Annotation: A Quick Guide”