How To Label Data For Semantic Segmentation Deep Learning Models?

Labeling the data for computer vision is challenging, as there are multiple types of techniques used to train the algorithms that can learn from data sets and predict the results. Image annotation is the method annotate the images containing the object of interest to make the same recognizable to machines. […]

How Semantic Segmentation & Landmark Annotation Improves Facial Recognition?

Facial recognition is becoming important for many companies to improve the security surveillance or detect the faces of people for various purposes like identifying the person for unlocking the smartphones or detect the facial expressions of drivers for alerting them through ADAS for safe driving. Facial recognition for computer vision […]

How To Select Suitable Machine Learning Algorithm For A Problem Statement?

Choosing the right machine learning algorithm for training a model is one of the biggest challenge for the AI engineers to make sure their efforts become successful. Actually, ML algorithm depends on various factors like process of model training and availability of the training data used to train the model. […]

Five Reasons Why You Need To Outsource Your Data Annotation Project

Artificial Intelligence (AI) and Machine Learning (ML) development is mainly rely on training data sets, that helps the AI or ML algorithms to detect the objects and learn certain patterns for future predictions. And acquiring the labeled or annotated data is the real challenge for the companies they many times […]

A Complete Image Annotation Solution for Object Detection in AI and Machine Learning

AI and machine learning are completely relying on training data to develop a model for real-life application. The training data directly relates to a properly labeled supervised data basically available in annotated image form for computer vision object detection. Without such data it is not possible to train the model […]

Why Human Annotated Datasets is Important for Machine Learning?

Developing an AI model through machine learning is not possible without huge volume of data like training data, testing data and validation dataset that requires at various stage of development. Actually, machines learning models use an algorithm to learn the patterns in the input through such data sets that are […]