In conclusion, Python has a rich ecosystem of image processing libraries that can be used for various tasks in computer vision.

But neural network-based image recognition algorithms are still far from perfect, and according to a pair of recent papers these algorithms can be tricked pretty easily.

Back in May, Google announced AIY Projects — do-it-yourself hardware kits for experimenting with artificial intelligence. Today, Google followed up the first Voice Kit with a new Vision Kit for ...

Facebook reaches new heights in image recognition with an approach that could help artificial intelligence learn from messy real-world data.

Image recognition is a long-standing challenge in science. But researchers have achieved a breakthrough by developing a powerful image-recognition application with mass-market appeal. There is a ...

From programs that help the visually impaired and safety features in cars that detect large animals to auto-organizing untagged photo collections and extracting business insights from socially ...

Facial recognition systems may be trained and tested on thousands or even millions of faces. The particular images that Diversity in Faces draws on have been available to researchers for years.

ChatGPT update enables its AI to “see, hear, and speak,” according to OpenAI Image recognition and voice features aim to make the AI bot's interface more intuitive.