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 ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...

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 researchers.

Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Google is trying to offer the best of simplicity and ...

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 ...