FHIBE was created to address issues with current publicly available datasets that lack diversity and are collected without consent, which can perpetuate bias and present a persistent challenge to AI ...

Images in the test dataset were all sourced with consent AI models are filled to the brim with bias, whether that's showing ...

Overview Demand for diverse, high‑quality datasets is increasing rapidly as AI models scale.Leading firms now combine ...

BrowserAct, a global automation company, has launched a major update to its intelligent web scraping and data-agent platform ...

Fault detection involves identifying and diagnosing issues in machines or equipment to prevent failures and ensure optimal performance. Computer vision plays a role in engineering fault detection by ...

Data is pretty much everything when it comes to training AI systems, but accessing enough data to produce quality products that live up to their promise is a major challenge, even for companies with ...

Artificial intelligence (AI) is a revolution that is changing how individuals live and work; it’s not just a technological development. There are fundamental building blocks for AI that outline its ...

Computer vision is rapidly transforming plant sciences and agriculture by enabling high-throughput, precise, and scalable phenotyping and monitoring. This Collection invites Data Descriptors ...

There is nothing more important for artificial intelligence initiatives than acquiring contextually labeled, high-quality training data and developing a reliable data pipeline. Here’s how to get there ...

A recent study published in the journal Manufacturing Letters explored how integrating edge computing with the Industrial Internet of Things (IIoT) and computer vision can improve industrial processes ...