Michael Abramov

A lot of focus is on self-driving cars, particularly looking outwards on the road to achieve a safe autonomous passenger vehicle. It is just as essential to have the AI look inside. It should see things like how many people are inside, what they're doing, and what they&

The last couple of years since the start of the pandemic have been marked by global supply chain disruptions. The shipping and logistics industry can benefit from AI and automation in many ways. Efficiency is most important to these industries and related industries like warehouses. AI can greatly increase efficiency

Video annotation for machine learning can be helpful for many purposes, such as object, emotion, speech, and face detection. Machine learning is a field that allows computers to learn without human programmers. With careful preparation, you can make video annotation go smoothly. This practical guide will help you get started

AI video Annotation is one of AI's most important tasks, especially for the geospatial industry. The task of video annotation is to label each frame or region of a video with semantic information. The goal is to provide the AI system with enough training data to learn how

Every industry that uses AI also needs to use data annotation services. That is vital to the data training and machine learning used to produce new useful AI for some specific industrial application. Each industry has different needs for AI. The list provided here is far from complete as AI

Wildlife-vehicle collision (WVC) prevention systems are becoming increasingly popular. More people are aware of their importance. These systems can train cars to identify and avoid animals on the road. It helps prevent accidents and save lives. The main goal of wildlife detection is to warn drivers or self-driving vehicles. This