Data Labeling

Transformers – A Deep Learning Model for NLP

The Transformer is a Deep Learning Model that was introduced in 2017 and is mainly used for Natural Language Processing Tasks. It is mainly designed to handle sequential data for carrying out tasks such as text summarization and translation. Let’s take a deep dive into its architecture and why it is considered better than the […]

Data Labeling Approaches for Machine Learning

Data Labeling is one of the key factors that determine the quality of a machine learning project. Although data labelling tasks are time-consuming and can get very complex, by selecting the right approach, your machine learning project can steer clear of any quality or accuracy hurdles. In this blog, we have listed out 5 data […]

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 […]