Training Computers to See the Built Environment Related to Physical Activity: Detection of Microscale Walkability Features Using Computer Vision

The study purpose was to train and validate a deep learning approach to detect microscale streetscape features related to pedestrian physical activity. This work innovates by combining computer vision techniques with Google Street View (GSV) images to overcome impediments to conducting audits (e.g.,...

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Detalles Bibliográficos
Autores principales: Adams, Marc A., Phillips, Christine B., Patel, Akshar, Middel, Ariane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028816/
https://www.ncbi.nlm.nih.gov/pubmed/35457416
http://dx.doi.org/10.3390/ijerph19084548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9028816/
https://www.ncbi.nlm.nih.gov/pubmed/35457416
http://dx.doi.org/10.3390/ijerph19084548

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