Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Streetview Pothole Map Dataset is a dataset for object detection tasks - it contains Pothole annotations for 528 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
This map shows potholes patched in the last seven days, based on the corresponding 311 service requests at https://data.cityofchicago.org/id/7as2-ds3y.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
The Street Pothole Work Orders data consists of closed street potholes inspected and repaired by the New York City Department of Transportation. The dataset includes the pothole’s location, the date it was reported, and date the report was completed.
Potholes patched. For the previous seven days in map form, see https://data.cityofchicago.org/d/caad-5j9e.
The Chicago Department of Transportation (CDOT) oversees the patching of potholes on over 4,000 miles of arterial and residential streets in Chicago. CDOT receives reports of potholes through the 311 call center and uses a computerized mapping and tracking system to identify pothole locations and efficiently schedule crews. One call to 311 can generate multiple pothole repairs. When a crew arrives to repair a 311 pothole, it fills all the other potholes within the block. Pothole repairs are generally completed within 7 days from the first report of a pothole to 311. Weather conditions, particularly frigid temps and precipitation, influence how long a repair takes. On days when weather is cooperative and there is no precipitation, crews can fill several thousand potholes.
If a previous request is already open for a buffer of 4 addresses the request is given the status of "Duplicate (Open)". For example, if there is an existing CSR for 6535 N Western and a new request is received for 6531 N Western (which is within four addresses of the original CSR) then the new request is given a status of "Duplicate (Open)".
Once the street is repaired, the status in CSR will read “Completed” for the original request and "Duplicate (Closed)" for any duplicate requests. A service request also receives the status of “Completed” when the reported address is inspected but no potholes are found or have already been filled. If another issue is found with the street, such as a “cave-in” or “failed utility cut”, then it is directed to the appropriate department or contractor.
Data Owner: Transportation. Time Period: All open requests and all completed requests since January 1, 2011. Frequency: Data is updated daily.
Use this category to report issues with potholes. Street emergencies 402-444-4919.
This feature class represents location of reported potholes along the St. Johns County maintained roadway in 2015. Service Requests and Work Orders were recorded using the County's Computerized Maintenance Management System.Data posted on this site are for reference use only. Data provided are derived from multiple sources with varying levels of accuracy. The St. Johns County GIS Division & the Public Works Department disclaims all responsibility for the accuracy or completeness of the data shown.The Public Works Department makes every effort to produce and publish the most current information possible. These data were produced for information purposes only and NOT as a form of a survey information. No warranties, expressed or implied, are provided for the data therein, its use, or its interpretation.
311 Explorer is a web-based mapping tool that uses the City’s open data information to search, filter, and display 311 service requests on public property. You will be able to:
View the various types of service requests on public property that have been generated in a neighborhood, ward or across the city, see the status of service requests, use the map or charts for analysis of neighbourhoods
On April 6th, 2018, Mayor Muriel Bowser announced the launch of PaveDC, a comprehensive plan to eliminate all roads in poor condition in Washington, DC by 2024. The PaveDC plan has four priorities: road rehabilitation, road maintenance, alley repair and reconstruction, and sidewalk reconstruction. The map indicates which streets and sidewalks are planned for repair in 2018 and when the repairs have been completed. Each year shortly after the winter season, PotholePalooza is launched – a month-long campaign led by the District Department of Transportation (DDOT) to accelerate pothole repairs across Washington, DC.Please contact the map author, DDOT Performance Analyst Ting Ma at ting.ma@dc.gov if you have questions about this map tool.
This map shows potholes patched in the last seven days, based on the corresponding 311 service requests at https://data.cityofchicago.org/id/7as2-ds3y.
Mobile map of the southwestern portion of Potholes State Park, Washington. For use in the Field Maps app by ESRI. Published November 2021.
Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Pothole Service Requests that have been created and closed since May 2013, and those that are currently open. (Updated daily)
This is a list of all potholes filled in Syracuse this year. NOTE: Some data from the DuraPatchers is missing because a sensor went down from the beginning of 2018 through February 22, 2018. The Department of Public Works is responsible for filling potholes in the City, both in response to requests from constituents, as well as proactively. A row of data in this dataset is created automatically each time a pothole is filled. GPS units on each Durapatcher truck are signaled when the trigger on the emulsion hose is pulled to begin the filling of a pothole. This dataset was last updated on 07/24/2018
An interactive dashboard that shows statistical information on pothole repairs. The map demonstrates improved response to repairing potholes from 2016 to 2017. Macon-Bibb County's roads are maintained by the Macon-Bibb County Government Public Works Department. The Public Works Department provides general street and storm sewer repair and maintenance. The Streets Division is responsible for all maintenance of city street including storm sewer maintenance and repair, sidewalk repair, asphalt patching, permit cut repair, Right of Way cutting, Litter pickup, house demolition, as well as laying of pipe. Public Works maintains 1,064+ miles of paved registered roads and 39 miles of unpaved registered roads for a total of 1,074+ miles of registered roads throughout Macon-Bibb County, along with maintenance of various alleyways. Public Works assists with Community Cleanups and has a close affiliation with Keep Macon-Bibb Beautiful with Christmas Tree Recycling, Cherry Blossom Festival etc. This division works closely with other city departments to reduce the expense of hiring outside contractors.For more information about street repairs contact the Public Works Department at 478-621-5888 or visit their website at http://www.maconbibb.us/public-works/.
This map shows the reported locations and status of pothole repairs within Calgary. To reduce duplicate requests, check the map to see if we already have a repair request for a location that concerns you.
Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
License information was derived automatically
This dataset for the semantic segmentation of potholes and cracks on the road surface was assembled from 5 other datasets already publicly available, plus a very small addition of segmented images on our part. To speed up the labeling operations, we started working with depth cameras to try to automate, to some extent, this extremely time-consuming phase.
The main dataset is composed of 4340 (image,mask) pairs at different resolutions divided into training/validation/test sets with a proportion of 3340/496/504 images equal to 77/11/12 percent. This is the dataset used in the SHREC2022 competition and it is the dataset that allowed us to train the neural networks for semantic segmentation capable of obtaining the nice images and videos that you have probably already seen.
Along the main dataset we also release a set of RGB-D videos consisting of 797 RGB clips and as many clips with their disparity maps, captured with the excellent OAK-D cameras we won for being finalists at the OpenCV AI Competition 2021. In an effort to achieve (semi-)automatic labeling for these clips, we postprocessed the disparity maps using classic CV algorithms and managed to obtain 359 binary mask clips. Obviously these masks are not perfect (they cannot be by definition, otherwise the problem of automatic road damage detection would not exist), but nonetheless we believe they are an excellent starting point to create, for example, new data augmentations (creating potholes on "intact road images" belonging to other standard road datasets) or to be used as textures in the creation of 3D scenes from which to extract large amounts of images/masks for the training of neural networks. You can have a preview of what you will find in these clips by watching this video showing the overlay of images and binary masks: http://deeplearning.ge.imati.cnr.it/genova-5G/video/pothole-mix-videos/pothole-mix-rgb-d-overlay-videos-concat.html
Please take a look at the readme file inside the main dataset zipfile to have some more details about the single sub-datasets and their sources.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Pothole Detection Yolov12 is a dataset for object detection tasks - it contains Pot Hole annotations for 3,735 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
This map service contains service requests for pothole data reported to the City of Coquitlam.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
These maps were developed to support an effort to understand the spatial characteristics of piping plover (Charadrius melodus) nesting habitats. The maps show the expected nesting habitat distributions and piping plover intensity between 2000 and 2021 in the U.S. Prairie Pothole Region.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Streetview Pothole Map Dataset is a dataset for object detection tasks - it contains Pothole annotations for 528 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).