Last year, Taylor Stanberry caught 60 Burmese pythons with her bares hands—a state record. But this self-taught hunter says ...

Physicists at UC Santa Cruz and other institutes across California and New Mexico have developed a detection system that will ...

Learn about the methodology and tools for AI-driven arc fault detection to create real-time classification on MCUs, improving accuracy and reducing false trips, for edge deployment. Learn how embedded ...

At present, in the field of cherry recognition, problems such as dense fruit growth and frequent occlusions of branches and leaves affect the accuracy of the recognition process. To address these ...

News: A nightly version of ControlNet 1.1 is released! ControlNet 1.1 is released. Those new models will be merged to this repo after we make sure that everything is good. Below is ControlNet 1.0 ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.

aDepartment of Otolaryngology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, PR China bOtorhinolaryngology Institute, Sun Yat-sen University, Guangzhou, Guangdong, PR ...

We introduce YOGA, a deep learning based yet lightweight object detection model that can operate on low-end edge devices while still achieving competitive accuracy. The YOGA architecture consists of a ...