Image Annotation Image Annotation is a task of marking and outlining objects and entities on an image and offering various keywords to classify it which is readable for machines. This is a very important task as this data helps generate datasets that help computer vision models work in a...
Sentiment & intent analysis Under Sentiment analysis we inspect user input and identify the prevailing subjective opinion, especially to determine a user’s attitude as positive, negative, or neutral. When making a detect intent request, you can specify that sentiment analysis is performed, and the response will contain sentiment analysis...
Machine Learning is basically about evolving patterns and manipulating those patterns with different algorithms. In order to evolve, develop and maintain those patterns there is a lot of rich data required through Data Labeling companies because the data needs to represent as many potential outcomes from as many potential...
Facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. The system is being used in many ways such as Mobile phones, cybersecurity, check point gates etc. Presently, when your device gets unlocked using...
Data annotation is done to create the training data sets for AI and ML. Machine Learning Machine Learning is basically about evolving patterns and manipulating those patterns with different algorithms. In order to evolve, develop and maintain those patterns there is a lot of rich data required through Data...
Data annotation, an important step of data preprocessing in supervised learning. Machine Learning (ML) dictates a new approach to business – one that requires plenty of data. It’s a crucial task for machine learning because data scientists need to use clean, annotated data to train machine learning models. Data...
Introduction: Human-in-the-Loop (HITL) Human-in-the-loop or HITL is defined as a model that requires human interaction. Basically, Human-in-the-loop is the branch of artificial intelligence that combines both human and machine intelligence to create machine learning models. The HITL approach combines the best of human intelligence with the best of machine...
Data annotation consists, text annotation, image annotation, and video annotation using the various techniques as per the project requirements and machine learning algorithms compatibility. Data annotation is done to create the training data sets for AI and ML while image annotation is a very important type of image annotation....
Training Data Sets The training data set in deep learning is the actual dataset used to train the model for performing various actions. This is the actual data the ongoing development process models learn with various API and algorithms to train the machine to work automatically. Deep Learning Deep...
LEARNING SPIRAL 15+ years Delivering Examination Solutions Learning Spiral was founded with a vision to provide services and solutions geared towards effective management of applicant and assessment/examination processes. Our clients include educational institutes, universities, colleges, recruiters, recruitment bodies, and other assessment bodies. The range of our services covers the...