The Street View Text Dataset Overview The Street View Text (SVT) dataset was harvested from Google Street View. Image text in this data exhibits high variability and often has low resolution. In dealing with outdoor street level imagery, we note two characteristics. (1) Image text often comes...
街景文字(SVT)数据集是从Google街景中获取的。此数据中的图像文本具有较高的可变性,并且通常具有较低的分辨率。在处理室外街道级图像时,我们注意到两个特征。(1)图片文字通常来自业务标牌,(2)可以通过地理业务搜索轻松获得公司名称。 The Street View Text Dataset_datasets..txt The Street View Text Dataset_...
StreetView Dataset Google街景数据集 包含62058 个高质量街景图像谷歌街景数据集包含62058张高质量的谷歌街景图像。这些图像覆盖了宾夕法尼亚州匹兹堡市中心和邻近地区;佛罗里达州奥兰多和部分Vehicle 交通运输 公开数据集
In particular, we present a way to generate a rainy version of the Street View Text Dataset (R-SVTD) for "text detection and recognition" evaluation in bad weather conditions. Experimental results on this dataset show that our model is able to outperform the state of the art in terms of ...
Road damage is a great threat to the service life and safety of roads, and the early detection of pavement damage can facilitate maintenance and repair. Street view images serve as a new solution for the monitoring of pavement damage due to their wide co
Hi Taeksoo, thanks a lot for sharing this code! :) Which version of the Paris StreetView dataset did you use for your training? Did you contact the authors to get exactly their version or use their script to scrape StreetView for your ow...
// Get the (first and only) street network dataset from one of the maps in the packageTransportationNetworkDataset streetNetwork = navigationMap.TransportationNetworks[0];// Create a new route task that uses the street networkRouteTask routeTask =awaitRouteTask.CreateAsync(streetNetwork);// Get the...
The Street View House Numbers (SVHN) Dataset is a real-world image dataset with minimal requirement on data preprocessing and formatting. It incorporates an order of magnitude more labeled data (over 600,000 digit images) and comes from a significantly harder, unsolved, real world problem (recogn...
Street View implementation for Open Layers. Contribute to GastonZalba/ol-street-view development by creating an account on GitHub.
To demonstrate the generality of our model, we show that it also performs well on an even more challenging dataset derived from Google Street View, in which the goal is to extract business names from store fronts. Finally, we study the speed/accuracy tradeoff that results from using CNN ...