Data annotation is the process of labeling data to make it usable for machine learning and it’s utmost necessary to have accurate sets for Machine Learning. Data annotation, an important step of data preprocessing in supervised learning. Machine Learning (ML) dictates a new approach to business – one that...
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans. For example, speech recognition, problem-solving, learning, and planning. AI and ML require much of Data annotation for tools to get proper results as AI is now being widely...
Artificial Intelligence enhances the speed, precision, and effectiveness of human efforts. Artificial Intelligence (AI) is bringing drastic changes in technical fields, where it can be implemented to automate the system for more efficiency and performance while we are quite unaware of how AI is making daily life easier and...
AI Market Worth by 2025 AI is growing day by day and it’s expected to achieve greater heights in the future and so By 2025, AI is expected to become a $60 billion dollar industry! AI will make products and services better, and it’s expected to boost many sectors...
Presently, many startups in the agriculture sector are adapting new and effective AI-enabled approaches to increase the efficiency of agricultural production and there many use cases under which the agriculture sector is benefited through AI. The major factors such as climate change, food security, advanced agricultural techniques, Checking and...
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...
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...