Tag: object detection

Researchers combined aerial image segmentation and camera-based object detection to build the first corridor-wide, AI-driven indicators of parking supply and ...

Chinese researchers have developed CGFM, an attention-guided fusion module that lets YOLOv8-based detectors intelligently combine visible-light and infrared satellite imagery, ...

Researchers in Sardinia have built the first field dataset of grapevine hopperburn symptoms and shown that deep learning detectors reliably ...

A new lightweight YOLOv10-based vision system paired with an improved generative grasping network lets industrial robots detect and grip objects ...

Researchers have developed S²DNet, a dynamic spectral–structural framework that adapts feature extraction and fusion to each scene, improving remote sensing ...

Researchers have developed an attention-enhanced YOLOv8n-CBAM deep learning model that detects red palm weevils in pheromone trap images with high ...

Researchers have developed a real-time AI framework and a new field-captured dataset, VerBeet, that localize sugar beets and detect breakage ...

A new hybrid AI architecture called Mamba-OrthoNet fuses global and local visual features with circular angle encoding to detect ship ...

Peruvian researchers combined close-range drone imagery with two YOLOv8 deep learning models to detect Hass avocados and classify their ripeness ...

Version 2.1.1 of the open-source YOLO-MOD plugin lets QGIS users run their own trained YOLO models, edit detections interactively, and ...