The dominant framework inputs one or two groups of images manually annotated with pixel-level and category labels (i.e. Apple and Horse), and then uses these supervisory signals to train a model ...

Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.

They took images of real objects – such as parts of a pneumatic cylinder – and blended them with different background scenes where object detection has previously struggled.

Meta expands AI image labeling to combat AI-generated misinformation on Facebook and Instagram, targeting deceptive content from both its own and competitors' platforms.

Meta's Segment Anything Model allows for more accurate and efficient identification and labeling within visual media, which some have labeled a "groundbreaking" advancement.

At the same time, advances in embedded AI for object detection and categorization such as YOLO, GoogleNet and AlexNet reached an unprecedented level of accuracy (mean-Average Precision – mAP) and ...

Frigate, one of the most popular open-source options for home IP camera management, just released a massive update. Frigate 0 ...

Meta Platforms will begin detecting and labeling images generated by other companies' artificial intelligence services in the coming months, using a set of invisible markers built into the files ...