Google handed a new set of intelligent object detection capabilities over to the open source community as part of continued development of its TensorFlow framework.

Recent releases from Facebook and Google implement the most current deep-learning algorithms to take a crack at the challenging problem of machine object detection.

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Facebook AI researchers claim they created the first object detection model with the Transformer neural network architecture typically used for NLP.

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

Google's TensorFlow team released TensorFlow Lattice today to help developers ensure that their machine learning models adhere to global trends even when training data is noisy. Lattice draws from ...