F-360iSOD是一个基于注视点的360度全景图像数据集，由法国IETR INSA Rennes创建，包含107张具有挑战性的全景图像，涵盖室内外场景。数据集通过人工标注了1,165个显著对象，每个对象都有精确的像素级标注。创建过程中，利用真实人眼注视图指导标注，确保数据集质量。F-360iSOD主要用于显著对象检测研究，特别是在虚拟现实和全景图像分析领域，旨在提高模型对全景图像中显著对象的识别

arXiv2020-05-19 更新710

Model weights of the paper Are Safer Looking Neighborhoods More Lively? A Multimodal Investigation into Urban Life

城市空间感知

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From street view imagery to the countryside: large-scale perception of rural China using deep learning

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This project includes the deep learning model code about the article "From street view imagery to the countryside: large-scale perception of rural China using deep learning," which introduces a Pair-C

DataCite Commons2025-03-23 更新930

Mapping Suburban Bicycle Lanes - models and data resources

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场景图像分析

Datasets and other files to reproduce the work contained in "Mapping suburban bicycle lanes using street scene images and deep learning", a minor thesis submitted in partial fulfilment of the requirem

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Street Smart: Learning from Randomly Sampled Images from Google Street View

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