Tag: object detection

The Rubik's Cube has long served as a demanding benchmark for autonomous systems precisely because it compresses so many difficulties ...

Researchers trained lightweight YOLO deep-learning models on just 53 smartphone images of preserved Zimbabwean museum fish to detect ecologically important ...

A new YOLO-based framework called GSDD-Net detects subtle gear surface defects in cluttered industrial images with higher accuracy, a smaller ...

Chinese researchers have developed CDCNet, a deep learning framework that recognizes fine-grained barefoot footprint regions with 83.2 percent mean Average ...

Researchers in India have released PondDebris, a freshwater underwater waste dataset, and UWAD-Net, an attention-enhanced YOLOv8-based detector that achieves a ...

Researchers in Norway have developed Hjort-YOLO, a lightweight and explainable AI framework that detects wildlife from camera-trap images faster and ...

A YOLOv8-based deep learning model identified and measured children's coronary arteries on echocardiograms with expert-level accuracy in under two seconds ...

Researchers have developed AdaTent++, a test-time adaptation framework that routes each unlabeled frame through reliability-gated paths to improve traffic sign ...

A new end-to-end AI detector called SFM-DETR combines Mamba state space modeling with frequency-domain analysis to identify maize seedlings and ...

Researchers in Colombia have developed Col-Ovo, a smartphone-based artificial intelligence system that counts Aedes aegypti mosquito eggs in seconds, matching ...