data annotation Pothole Detection and Avoidance: Driving Autonomy to the Next Level In order to achieve full self-driving, a system would have to be able to handle a wide range of different scenarios, including different weather and road conditions. Then there are potholes. It can sometimes be difficult for even human drivers to handle, and some people find it improbable that self-driving
How AI and machine learning revolutionizes consumer commerce Table of Contents 1. Introduction 2. Artificial Intelligence in Consumer Commerce: Advantages 3. Role of AI and Machine Learning in Consumer Commerce Introduction The E-commerce sector is changing because of artificial intelligence (AI) and machine learning. Customers are demanding faster, more seamless purchasing experiences with the growth in online buying.
How to reduce the cost associated with data labeling Data labeling is a laborious task and requires an ample amount of effort and money. The process of labeling data involves various steps from collecting data to annotating data with data labeling techniques to reviewing the processes. The process also involves humans in the loop which is an essential component
What is data labeling and how many different types of it are there? In today’s technically advanced world, computer vision has enabled a lot of ways to automate processes. With different machine learning models, understanding and classifying data has become an easy task. What human efficiency is incapable of, computer vision can do it very easily. It might take months to label
Avoid these mistakes while managing data labeling project It is common that mistakes will occur if you are incorporating human force into the work. But when you are dealing with machines, it becomes hectic to undo the mistakes. So, when you are dealing with a training machine, then it is recommended to avoid mistakes. Any error made during
data annotation Pre-trained models: how it speed up data annotation and when to use it effectively Are you someone who is looking for ways to fasten up your data annotation procedure? As computer vision technologies continue to quickly proliferate throughout industries, the demand for annotated data only increases. To implement computer vision with the help of machine learning in any project, freshly annotated training data is
Business How AI-ML is changing the business landscape across the industries Table of Contents 1. Introduction 2. Helping in the Creation of a Safe Workplace 3. Usage of Drone Imagery for Insurance Claims 4. Locating Defects in Rail Tracks 5. Immunity Cell Measurement in Cancer Patients 6. Restructuring the Beauty Industry Introduction You must have witnessed the implication of computer vision
technology Image Segmentation: The Power Behind Self-Driving Car Navigation Driving a car is often taken for granted. Little do we know that this effortless task is a result of millions of years of evolution. Every time we are driving, our brain is able to analyze, in a matter of milliseconds, what kind of vehicle (car, bus, truck, auto, etc.
3D scene flow: a complete guide on its application in self-driving cars Table of Contents 1. Introduction 2. Various Methods for Obtaining 3D Scene Flow 3. Conclusion Humans have been trying to develop self-driving cars for a long time. Thanks to the fast growing technology, recent years have witnessed enormous progress in Artificial Intelligence (AI) related fields such as computer vision, machine
technology A Guide On How To Achieve Automated Data Labeling With Machine Learning Table of Contents 1. What's the Process of Data Labeling? 2. Most Common Types of Data Models 3. Automated Data Labeling with Machine Learning If you are associated with data labeling, then you must be aware of how hectic this process is with the manual labeling process. Humans
data annotation Data annotation: key to creating high-quality training data The algorithm-driven world is driven by data annotation. If you want to create an effective AI model, then creating high-quality trained data is important. Few characteristics must be possessed by AI-trained data otherwise it becomes difficult to obtain high-quality trained data. We are going to take a look at such
data annotation How to manage the quality of training data while doing data labeling Are you someone who deals with training data for their AI and Machine learning project? If yes, then you must be aware of the fact that quality data plays an important role. The caliber of the training datasets affects how well a machine-learning model performs. In machine learning, the consistency
data annotation Data labeling: why it is important to manage it efficiently In today’s technically advanced world, Computer Vision has enabled a lot of ways to automate processes. With different machine learning models, understanding and classifying data has become an easy task. What human efficiency is incapable of, computer vision can do it very easily. It might take months to label
How AI-ML paved the way for self driving cars Table of Contents 1. Introduction 2. How Does Self-Driving Work? 3. Computer Vision in Self-Driving Cars 4. Conclusion Introduction The future is here: self-driving cars. But what's the big deal? We're going to tell you why it's not just a big deal. It'
Business How artificial intelligence is transforming businesses Artificial intelligence is a popular technology crucial to many industries and commercial organizations. The projections predict that by 2030, AI will have a 13 trillion dollar impact on the world economy. Currently, AI technology is transforming international trade and business. AI technology has smoothened the playing field for the world,
data annotation How To Choose The Perfect Tool For Data Annotation After gathering a sizable amount of raw data, you want to feed that data into artificial intelligence (AI) technologies so they can do tasks similar to those performed by humans. The problem is that you can only program these devices to function according to the settings you specify for a
