Tag: YOLOv8

A new lightweight RGB-IR fusion network enables real-time object detection on drones, achieving high accuracy in low-light conditions with significantly ...

Researchers have engineered an optimized neural network architecture to deliver real-time visual detection of cracks and water seepage across deep ...

Researchers integrated an InceptionV3 convolutional neural network into the YOLOv8 object detection architecture to achieve high-accuracy, real-time sign language recognition.

A systematic review of 60 strawberry detection studies finds that 35 percent applied data augmentation before dataset splitting, a controlled ...

An AI model trained on nearly 6,000 annotated uterine ultrasound images automatically segments the endometrium, measures its thickness with sub-millimeter ...

Researchers built a dual-stream deep learning framework that localizes and classifies facial emotions and binary gender labels together, achieving 94.56% ...

Researchers have released HILIPS, an open-source three-stage pipeline that combines a multimodal language model, human review and a lightweight detector ...

A new AI framework combining attention-enhanced YOLOv8 and Bald Eagle Optimization achieved 98.94% accuracy in detecting transmission and distribution faults ...

A lightweight YOLOv8-based detection model with three-branch attention and enhanced multi-scale fusion achieved 99.2 percent average precision on insulator defects ...

A new YOLOv8-based algorithm called DARF improves visible-infrared object detection by enhancing shallow features and adaptively routing cross-modal information, achieving ...