YOLO's architecture allows it to simultaneously predict multiple bounding boxes and class probabilities for objects within an image, making it a popular choice for real-time applications. By training ...

Collect Data: Gather images and annotate them with the objects you want to detect (e.g., persons, motorcycles). Train Model: Use a YOLO training pipeline (with frameworks like Ultralytics YOLO or ...

Enhancing Object Detection for Autonomous Vehicles Using YOLO-NAS on Bangladeshi Dataset Abstract: In autonomous driving, understanding unstructured road scene conditions like in Bangladesh, is ...

YOLO-World (from Tencent AI Lab) started to address this by letting you define any class you like for object detection, by name. No need for an annotated training dataset, just describe in words what ...

Remote sensing data is used in various fields, such as environmental monitoring, urban planning, agriculture, and disaster management. Advances in satellite technology permit the creation of ...