Artificial Intelligence (AI)-based cyber-security methodologies have been developed in response to this unprecedented challenge to help AI information security teams tackle data breaches and cyber security threats.

According to a Capgemini Research Institute poll, almost 69% of businesses feel AI plays an active role in combating various types of cybercrimes. Changes in cyber-attacks are rising day by day as technology advances in both directions, and it continues to expand at a rapid pace. Hundreds of billions of time-varying signals must be evaluated depending on the size of your organization in order to correctly quantify risk. …

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AI Security Camera Training Data Sets Available for round-the-clock Video Surveillance

High-quality satellite imagery dataset available for machine learning and AI projects

A One-stop Data Annotation Solution for Machine Learning Computer Vision AI

Freedom of speech typically allows social media users to express their views on anyone and any possible topic without thinking much. There is no fixed way to object to any content if it is harmful or hurting the sentiments of individuals, religions, groups, etc. Sometimes the user frames the content in such a way that surpasses the primary screening systems which the companies implement.

In today’s times, almost every business wants to defend its brand value from the detestable content which includes profanity, hate speech, offensive gestures, obscene pictures, nudity, etc. …

Annotation plays a highly important role in any critical deep learning or machine-learning project. As the correct labeling and data processing helps in reducing time, cost and minimizes human efforts while increasing accuracy and efficiency. Annotations also benefits machine learning algorithms to get trained with supervised learning process accurately for right prediction and could be further developed into deep learning aspect of AI process, which requires no training also known as unsupervised machine-learning.

Data Annotations & Training Data

Data Annotation is part of the training data process which encompasses giving labels and metadata tags to texts, videos, images, or other…

In today’s world, Artificial Intelligence (AI) is the next tech revolution. It is a defining technology of the 21st century that will transform the way businesses work and users interact with the data. Artificial Intelligence primarily aims at building smart machines and programs that are capable of performing complex tasks, which require human intelligence.

Owing to its capability of recognizing patterns and predicting outcomes, Artificial Intelligence has multitude of potential applications in various industries and sectors all over the world. We are seeing a growing number of enterprises turning to AI technologies to assist their operational efficiencies and improve their…

Data Annotation is the process of identifying and classifying objects, elements or any other data present in images, texts, videos and audio. When we classify an object in an image or video, we add a label or metadata tag to that object. This process of labeling objects in any data form is called Data Annotation. Labelling helps the machine learning model to recognize the target objects which forms the basis for any computer vision oriented project to execute and process data and perform key tasks. To be precise, Data annotation helps the machine to recognize data in its correct form…

Annotation of images is crucial to help machines or computer vision models identify and interpret the objects correctly. Annotation is done with predetermined labels with the help of expert human annotators. In simple words, annotation of images is all about adding metadata to a dataset, which can help machines to recognize the specific given objects in the image. An annotator tags objects within images and makes them more informative so that the machine learning algorithms can interpret the data, and get trained to solve real-life challenges.

Image annotation can be used in various industries. …