Vilnius, Lithuania – August 17, 2020 – Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, has announced the release of a new version ...

Developers building machine learning or object detection models have to manually label hundreds to thousands of images to train them. To make the task easier, IBM has introduced a new auto-labeling ...

The dominant framework inputs one or two groups of images manually annotated with pixel-level and category labels (i.e. Apple and Horse), and then uses these supervisory signals to train a model in a ...

Meta has announced the release of an artificial intelligence model that is capable of identifying specific objects within an image. Alongside the model, Meta has also published a dataset of image ...

Data labeling software is crucial in developing artificial intelligence (AI) systems. It is designed to label and annotate data in a consistent and standardized manner, just like in a commonly known ...

AI detects objects in images by using computer vision techniques that analyze the visual features of an image. The process typically involves using a convolutional neural network (CNN) to identify ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a “game-changer” that could lead to advancements in cancer detection, according to leading ...

Researchers at the Indian Institute of Science (IISc) have pioneered a solution for AI training in Mixed Reality (MR) industrial applications. Overcoming the challenge of extensive image dataset ...