Street Image Dataset. We present a new large-scale dataset that contains a diverse

We present a new large-scale dataset that contains a diverse set of stereo video sequences recorded in street scenes from 50 different cities, with high quality We introduce Global Streetscapes — a dataset of 10 million crowdsourced and free-to-use SVIs sampled from 688 cities across 210 countries and territories, enriched with more than 300 Mapillary turns street-level imagery into map data powered by AI and computer vision. Mapillary tools are open-source and free to use, making them accessible for city governments, urban planners, and A limited set of Google Street View images has been approved for use with the StreetLearn project and academic research. It consists of 16,000 dataset images and 49 This dataset contains images of streets categorized into three classes: clean streets, dirty streets, and streets with visible recycling bins (ecopoints). It is SVHN is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and In this study, a road pavement damage dataset, the Street View Image Dataset for Automated Road Damage Detection (SVRDD), was developed using 8000 street view images StreetView 360X is a dataset containing 6342 360 degree equirectangular street view images randomly sampled and downloaded from Google Street View. 1 million street-level urban and rural geo-tagged images, it achieves state-of-the-art performance on multiple open-domain image A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics Annotated subset of Tokyo 24/7 Google Street View Dataset for Visual Geo-localization research. It is specifically curated to assist in various machine The images below show how different places can appear. All datasets are suitable for AI and deep Download free, open source datasets for computer vision machine learning models in a variety of formats. We’re committed to building a In this study, a road pavement damage dataset, the Street View Image Dataset for automated Road Damage Detection (SVRDD), was developed using 8000 street view images acquired The Mapillary Vistas Dataset is a large-scale street-level image dataset containing 25,000 high-resolution images annotated into 66/124 object categories of which 37/70 classes are instance Mapillary Street-Level Sequences (MSLS) is the largest, most diverse dataset for place recognition, containing 1. Querying Google Streetview Images with Python Introduction Google Streetview is an amazing service that provides broad access to . It is There is one additional image per placemark which shows some overlaid markers, such as the address, name of streets, etc. 6 million images in a large number of short sequences. The examples demonstrate that the SVS dataset includes seasonal changes, different weather This dataset provides an invaluable resource for researchers, urban planners, artists, and policymakers seeking to explore the intricate interplay between The Mapillary Vistas Dataset is a large-scale street-level image dataset containing 25,000 high-resolution images annotated into 66/124 object categories of which 37/70 classes are instance Global Streetscapes: Global Streetscapes is an open dataset made up of 10 million Street View Images (SVIs) spanning 688 cities from 212 countries and regions, Trained on an original dataset of 1. Street image datasets for machine learning Browse labeled street datasets for computer vision, including classification, detection and segmentation. Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics Yujun Hou a , Matias Quintana b , Maxim LoLI-Street is a low-light image enhancement dataset. We are releasing these Google Street View panoramas (approximately Description: This dataset comprises 10,000 diverse outdoor images sourced from the Google Street View API. The above figure shows sample street view images belonging to eight place The dataset comprises 763 images, each accompanied by bounding box annotations for five landscape object classes, including trees, waste bins, recycling bins, shop Mapillary is the platform that makes street-level images and map data available to scale and automate mapping.

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