Image identification makes use of techniques like detection of an object, its recognition, and segmentation. The use of artificial intelligence and machine learning enhances the rate of processing the ...

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that ...

This study evaluates YOLOv12 using a globally sourced traffic dataset that includes varied weather conditions, lighting scenarios, and geographic locations. The model demonstrates strong performance ...

The proposed framwork integrates multiple advanced modules: RetinexNet for preprocessing, segmentation using HRNet to preserve high-resolution semantic information, and vehicle detection using the ...

Source-free domain adaptive object detection (SFOD) enables detectors trained on a source domain to be deployed to unlabeled target domains without access to the source data, thus addressing concerns ...