An example of an image classification problem is to identify a photograph of an animal as a "dog" or "cat" or "monkey." The two most common approaches for image classification are to use a standard ...

CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research explains how to get the raw source CIFAR-10 data, ...

Josh Grossman provides a brief overview of what the ASVS is, but takes a closer look at balancing trade-offs and prioritizing different security requirements. Josh shares how to make the process ...

French scientists have developed a dataset to enable the creation of installation registries, by extracting small-scale PV metadata from overhead imagery. It can be used to provide training data for ...

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SHENZHEN, China - MicroCloud Hologram Inc. (NASDAQ:HOLO), a technology company currently trading at a significant discount to its InvestingPro Fair Value, has developed a Quantum Convolutional Neural ...

AerialMPT is a dataset for pedestrian tracking in aerial image sequences and presents real-world challenges for MOT algorithms such as low frame rate, small moving objects, and complex backgrounds.