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Zebrafish tracking using YOLOv2 and Kalman filter
(Springer Science and Business Media LLC., 2021-02-05)
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 ...
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)
A Method of the Coverage Ratio of Street Trees Based on Deep Learning
The street trees coverage ratio provides reliable data support for urban ecological environment assessment, which plays an important part in the ecological environment index calculation. Aiming at the statistical estimation ...
Zebrafish automatic monitoring system for conditioning and behavioral analysis
(Springer Science and Business Media LLC, 2021-04-29)
TYolov5: A Temporal Yolov5 detector based on quasi-recurrent neural networks for real-time handgun detection in video
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2020-12-01)
Timely handgun detection is a crucial problem to improve public safety; nevertheless, the effectiveness of many surveillance systems, still depend of finite human attention. Much of the previous research on handgun detection ...
Análise de desempenho da YOLOv5 para detecção em tempo real de plantas daninhas na sojaYOLOv5 performance analysis for real-time detection of weeds in soybeans
(Universidade Federal da Grande DouradosBrasilFaculdade de Ciências Exatas e TecnologiaUFGD, 2021)
Análise de desempenho da YOLOv3 para detecção em tempo real de insetos-praga na sojaPerformance analysis of YOLOv3 for real-time detection of pests in soybeans
(Universidade Federal da Grande DouradosBrasilFaculdade de Ciências Exatas e TecnologiaUFGD, 2021)