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Automatic Cell Counting With YOLOv5: A Fluorescence Microscopy Approach
Counting cells in a Neubauer chamber on microbiological culture plates is a laborious task that depends on technical experience. As a result, efforts have been made to advance computer vision-based approaches, increasing ...
Modified YOLOv4-DenseNet Algorithm for Detection of Ventricular Septal Defects in Ultrasound Images
Doctors conventionally analyzed echocardiographic images for diagnosing congenital heart diseases (CHDs). However, this process is laborious and depends on the experience of the doctors. This study investigated the use of ...
Comparação dos algoritmos YOLOv3 e SSD para identificação de objetos em imagens, em um dataset para navegação de robôs em ambientes interiores
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2022-02-04)
This work presents a study related to the research area of computer vision. The main objective is to compare YOLOv3 and SSD algorithms for identifying objects in images. In order to achieve the intended objective, at first, ...
Zebrafish tracking using YOLOv2 and Kalman filter
(Springer Science and Business Media LLC., 2021-02-05)
Detección de peatones en el día y en la noche usando YOLO-v5
(2022-01)
En este artículo se presenta un nuevo algoritmo
basado en aprendizaje profundo para la detección
de peatones en el día y en la noche, denominada
multiespectral, enfocado en aplicaciones de seguridad
vehicular. La ...
Pedestrian detection at daytime and nighttime conditions based on YOLO-v5Detección de peatones en el día y en la noche usando YOLO-v5
(Universidad Politécnica Salesiana, 2022)
Detección de peatones en el día y en la noche usando YOLO-v5
(Universidad Politécnica Salesiana, 2022)
Deep learning-based oriented object detection in remote sensing imagery: YOLOv7-OBB
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2023-01-25)
Remote sensing (RS) is the act of processing and extracting meaningful features about
the ground and objects observed at a distance, usually from a much higher position from aircraft and satellites. Due to the large field ...
Improving industrial security device detection with convolutional neural networks
(Institute of Advanced Engineering and Science (IAES), 2023)
Employee safety is paramount in the manufacturing industry to ensure their well-being and protection. Technological advancements, particularly convolutional neural networks (CNN), have significantly enhanced this safety ...