YOLO is renowned for its speed and accuracy, making it a popular choice for real-time object detection tasks. The YOLO model operates by dividing an image into a grid and predicting bounding boxes and ...

The YOLOv8 architecture was used for object detection. Training involved feeding the annotated dataset into the YOLOv8 model and fine-tuning the model to accurately detect objects in the images. Model ...

Landmine detection using aerial imagery is relatively new area of remote sensing and computer vision, but due to rapid development of both aerial vehicles and object classification and detection ...

Using this domain adaptation method, the team has built an object detection model “YOLO in the Dark” using RAW images taken in extreme dark conditions, with the YOLO modell. Learning of the object ...