Улучшенное обнаружение мелких объектов с использованием модифицированной модели YOLOv11n / С. Чжу, С. Абламейко

Key Points

• Enhanced object detection performance with modified YOLOv11n model, improving accuracy in finding small objects.
• The modified YOLOv11n model shows notable results in geoinformatics applications, particularly in remote sensing tasks.
• Application of advanced neural network techniques in the analysis of geospatial data improves detection capabilities.
• Findings suggest improved methodologies for remote sensing, calling for further exploration in practical applications.