Data Labeling

What is Training Data?

Machines are replacing humans in routine and manual jobs because of the faster processing speed and storing knowledge advantage they have over humans. One can even leverage their speed and turn them into intelligent machines. Here is where the Training data comes into the picture. By feeding them with relevant data, machines can be trained […]

How to Build, Train, Test, and Deploy a Machine Learning Model?

Building a Machine Learning model is just not enough. The ML model has to be trained, tested and deployed in a production environment to understand what value it provides in solving the real-world problems. In this article, we will explore the steps to build, train, test and deploy an ML model using a hypothetical object-detection […]

Training Data for Self Driving Cars

Training Data for Self Driving Cars Self-driving cars also known as autonomous cars have captured the imagination of the people and mark a major change in the automotive industry. With all the major players in the automotive industry from the Tesla to Volvo, BMW, Mercedes Benz, and others investing heavily in developing self-driving cars have […]

Understanding Semantic Segmentation

Understanding Semantic Segmentation Development of most of the Computer Vision projects involves inferring knowledge from an image. Semantic Segmentation plays a key role in image analysis and helps a machine to recognize objects in an image. It is one of the high-level tasks that help to understand the complete scene in images. What is Semantic […]

Image Annotation Types

Image Annotation helps to build accurate object detection models mainly used for Computer Vision projects. In this blog, we will take a look at what is Image Annotation and its types. What is Image Annotation? Simply put, Image Annotation is the labeling of an image either in the form of one label for the entire […]