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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 ...
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 ...
A new report assembles guidance on the testing and evaluation of machine-learning models for aerial object detection.
Getting computers to recognize objects has been a historically difficult problem in computer science, but with the rise of machine learning it is becoming easier to solve. One of the tools that can… ...
Most people are familiar with the idea that machine learning can be used to detect things like objects or people, but for anyone who’s not clear on how that process actually works should chec… ...
The SpotlightAI™ software ecosystem utilizes advanced machine learning (ML) models for small object detection and data reporting built on an extensive proprietary dataset capable of rapidly ...
Object classification, detection, and segmentation One of the key reasons for the growing interest in machine learning systems is the problems they can solve in computer vision .
These leading machine vision systems use AI and deep learning to identify objects, recognize patterns, and detect anomalies. Written by eWEEK content and product recommendations are editorially ...
Using advanced machine learning, drones could be used to detect dangerous 'butterfly' landmines in remote regions of post-conflict countries, according to research.
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