Machine learning is one of the decade's most popular buzzwords, ushering a new age in artificial intelligence and intelligent computing. Image recognition has been one of the major benefactors of recent advances in machine learning, particularly deep learning. Image recognition has relied on algorithms to decipher objects in photos for years. Deep learning uses millions of … [Read more...] about Interesting Uses of Image Recognition Technology in AI
image analytics
Importance of cuboid annotation in real-life scenarios
One of the most important processes is the 3D cuboid image annotation approach, which aids robots in recognizing all three dimensions of things. This image annotation method is used to recognize objects in more detail, which aids in the training of the 3D visual perception model. It entails using high-quality labeling and a marking approach to highlight things in … [Read more...] about Importance of cuboid annotation in real-life scenarios
Human Pose Estimation: Approaches, Use Cases, and Implementation Tips
Part of the broader artificial intelligence and computer vision realms, human pose estimation (HPE) technology has been gradually making its presence seen in all kinds of software apps and hardware solutions. Still, human pose estimation seemed to be stuck at the edge, failing to cross into mainstream adoption. But the COVID-19 outbreak pushed entire industries over the … [Read more...] about Human Pose Estimation: Approaches, Use Cases, and Implementation Tips
10 Types of Deep Learning Methods for AI Programs
Deep learning has wide application in artificial intelligence and computer vision backed programs. Across the world, machine learning has added more value to a range of tasks using key methodologies of artificial intelligence such as natural language processing, artificial neural networks and mathematical logic. Off lately, deep learning has become central to machine learning … [Read more...] about 10 Types of Deep Learning Methods for AI Programs
Robust Image Classification with a Small Data Set
One of the biggest myths about AI is that you need to have a large amount of data to obtain sufficient accuracy Š ” Šand the rapid development of Big Data analytics seems to prove this intuition. It is true, that deep learning methods require model training on a huge number of labeled images. However, in image classification even a small collection of training … [Read more...] about Robust Image Classification with a Small Data Set
