Since generative AI began to garner public interest, the computer vision research field has deepened its interest in ...

AI tools for image segmentation require large training datasets that are annotated with many examples of objects of interest, e.g. manual annotated cell nuclei for training a model for nuclear ...

(b) Schematic diagram of pan-genome graph showing relationship between a segment of the M. floribunda genome and the reference Fuji genome. Credit must be given to the creator. Only noncommercial ...

This method is built on a lightweight dual-stream semantic segmentation model called AttnGPRNet, developed in this work to improve feature extraction through attention mechanisms and enhance ...

Museums are experiencing an increased presence of 3D printed objects in collections and higher instances of use in preservation activities. The diversity of 3D printed materials presents a major ...

Construction kits allow for quick and easy assembly, but they are limited by the components available in the kit. Working models can be custom-built to precise specifications, but they are time ...

A close-up image of the rear of a bicycle - including the chain, wheel and brakes. Found in everyday items like clocks and bicycles, gear trains can increase speed while decreasing force ...

These annotations can be used for scene understanding tasks like semantic segmentation, object detection and image captioning. You can now use Scale's Nucleus platform to explore the COCO-Stuff ...

This project consists of infering a Tensorflow model based on Yolo11 to recognize certain official French documents, such as passports, identity cards, etc. The training was made using synthetic data.