Tech Xplore on MSN

Human-centric photo dataset aims to help spot AI biases responsibly

A database of more than 10,000 human images to evaluate biases in artificial intelligence (AI) models for human-centric ...
sciencex

Researchers leverage new machine learning methods to learn from noisy labels for image classification

The rapid development of deep learning in recent years is largely due to the rapid increase in the scale of data. The availability of large amounts of data is revolutionary for model training by the ...
VentureBeat

MIT study finds ‘systematic’ labeling errors in popular AI benchmark datasets

The field of AI and machine learning is arguably built on the shoulders of a few hundred papers, many of which draw conclusions using data from a subset of public datasets. Large, labeled corpora have ...

Apple just dropped a research dataset to help train AI image editing models

Apple has released Pico-Banana-400K, a highly curated 400,000-image research dataset which, interestingly, was built using ...
VentureBeat

MIT researchers find ‘systematic’ shortcomings in ImageNet data set

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now MIT researchers have concluded that the ...