One of the biggest AI problems is lack of Quality Training Data and the only solution for quality training data is “Data Annotation”  Data annotation plays a very important role in ascertaining your AI and machine learning projects are trained with the right information to learn from. Data annotation...
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...
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...
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...
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...