In this tutorial, we build an in-depth NeMo Guardrails pipeline that demonstrates how layered guardrails can control an LLM-based financial assistant across the full request lifecycle. We combine ...

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Learn how to integrate face liveness detection into your workflow by using server-side logic and companion frontend client applications. Tip For general information about face liveness detection, see ...

Today’s world is full of data, and images make up a significant portion of this data. However, to be put to any use, these images need to be processed. Image processing is how we analyze and ...

The Azure AI Face service provides AI algorithms that detect, recognize, and analyze human faces in images. It includes the following main features: an Azure Face account or an Azure AI services multi ...

Speech Recognition is a machine learning model that translates spoken audio data into text format. Basically, the model can transcribe speech into a document. It’s a model that is increasingly popular ...

Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning ...

Security has always been a major concern for mankind. Today we have video surveillance cameras in schools, hospitals and every other public place to make us feel secured. According to a survey by HIS ...

This is a simple image classification project trained on the top of Keras/Tensorflow API with MobileNetV2 deep neural network architecture having weights considered as pre-trained 'imagenet' weights.

Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of ...

Object detection is the computer vision task of detecting instances (such as humans, buildings, or cars) in an image. Object detection models receive an image as input and output coordinates of the ...