Why Training Data Matters?

Machines with their faster processing speed and knowledge storing ability have replaced humans in manual and routine jobs. By leveraging their speed, one can train and turn them into smart machines. Machines can be tuned to mimic the human brain and learn to process info similar to a human by feeding them with relevant training […]


Introduction to Object Detection

Being a part of the Computer Vision technology, Object Detection helps to identify and locate objects in images and videos. Humans require only a few seconds to locate and identify objects of interest whereas machines need the training to replicate the human vision. Here is where object detection algorithms play an important role in helping […]

ML Model Building

Build, Train, Test, and Deploy a Machine Learning Model

Building a Machine Learning model from scratch is a time consuming and complex process. The model has to undergo the process of training, testing, and finally deployment in a production environment. This helps to unwrap the potential it holds to solve real-world problems. In this article, let’s take a hypothetical object detection ML model and […]


Video Annotation

Video Annotation is the process of adding tags or labels to unlabeled videos. These videos are then used to train machine learning algorithms. The tags or labels can range from a simple bounding box around an object in a video or a full segmentation that labels every pixel of the video. Video annotation helps to […]


Basic Guide to Natural Language Processing

Natural Language Processing (NLP) is a field of Artificial Intelligence (AI) that facilitates the machines to read, comprehend and interpret the underlying meaning from human languages with its main lying in the interaction between Data Science and human language. NLP uses Machine Learning and Deep Learning techniques to extract meaning from human language. How NLP […]


Data Labeling Service – Ultimate Guide

Data Labeling is the process of tagging objects with discrete labels that identify their features such as classifications or properties or characteristics within images or videos. This process involves data annotation, tagging, transcription, and processing. Data Labeling helps to curate data for Artificial Intelligence and Machine Learning projects. It forms a crucial part of data […]

Data Labeling Challenges-RightClick.AI

Why 96% of Enterprises Face Training Data Issues?

As per a survey by Alegion, 96% of businesses encounter challenges related to training data labeling and quality in Machine Learning projects. According to the research, Artificial Intelligence is still an emerging field and hence we are facing training data issues for AI/Ml initiatives. IDC predicted the worldwide spending on AI systems in 2019 to […]


Human-in-the-Loop Machine Learning

There has been a rise in the number of machines that can learn and perform on their own, all thanks to the huge advancements in the field of Artificial Intelligence (AI). But, when it comes to producing acceptable accuracy rates, these machine-driven systems seem to lag. Machine-based classification combined with human feedback is the best […]


Image Annotation Types

Image Annotation refers to the labeling of images in the form of a single label for an entire image or using various labels for each object in an image. It is a kind of marking tool that highlights content or object in an image by sketching around it. Image annotation plays a key role in […]


Training Data for Self Driving Cars

Autonomous cars or self-driving cars have captured the interest of the people and is one of the major milestones in the automotive industry in recent times. All the big players in the automotive sector from the Volvo to Tesla, Mercedes, Benz and BMW have invested heavily in the development of self-driving cars. This has surely […]