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.

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.

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

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 ...

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

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