In fact, most object detection networks use an image classification CNN and repurpose it for object detection. Object detection is a supervised machine learning problem, which means you must train ...

Fig. 1: DETR transformer model compares its prediction with the ground truth. When there is no match, it would yield a “no object.” A match would validate an object. Source: “End-to-End Object ...

It comes with Azure Machine Learning, a cloud service to build and deploy ML models faster. In the monthly September update to ML.NET -- bringing it to v1.5.2 -- Microsoft introduced: The ability to ...

Safe Pro Surpasses 1,000,000 Drone Images Analyzed Milestone Using Its Novel AI Algorithms & Machine Learning Models on AWS Cloud Advancing Small Object Threat Detection ...

A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it possible to run real-time object detection on devices with very ...

Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. ... Machine learning models can run in the cloud, ...

In this article, the author discusses a machine learning pipeline with observability built-in for credit card fraud detection use case, with tools like MLflow, FastAPI, Streamlit, Apache Kafka ...