{"id":13654297,"url":"https://github.com/microsoft/RoadDetections","last_synced_at":"2025-04-23T08:31:59.813Z","repository":{"id":65976135,"uuid":"360998824","full_name":"microsoft/RoadDetections","owner":"microsoft","description":"Road detections from Microsoft Maps aerial imagery","archived":false,"fork":false,"pushed_at":"2024-11-12T00:20:25.000Z","size":6092,"stargazers_count":557,"open_issues_count":7,"forks_count":28,"subscribers_count":20,"default_branch":"main","last_synced_at":"2025-04-20T10:15:10.275Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/microsoft.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-04-23T20:31:09.000Z","updated_at":"2025-04-16T12:18:34.000Z","dependencies_parsed_at":"2024-01-06T11:44:06.352Z","dependency_job_id":"7010c722-01e1-4f33-a3d2-57d99c9a11e4","html_url":"https://github.com/microsoft/RoadDetections","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FRoadDetections","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FRoadDetections/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FRoadDetections/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/microsoft%2FRoadDetections/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/microsoft","download_url":"https://codeload.github.com/microsoft/RoadDetections/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250399519,"owners_count":21424196,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-08-02T02:01:26.764Z","updated_at":"2025-04-23T08:31:59.805Z","avatar_url":"https://github.com/microsoft.png","language":null,"readme":"Introduction\n-------------------\nBing Maps is releasing mined roads around the world. We have detected \u003cb\u003e48.9M km\u003c/b\u003e of all roads and 1165K km of roads missing from OSM. Mining is performed with Bing Maps imagery between 2020 and 2022 including Maxar and Airbus. The data is freely available for download and use under the [Open Data Commons Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/).\n\n## Data\n\n\u003c!--![Mining status](images/mining-status.png)--\u003e\n![Mining status](images/RoadLengthByQuadkey-mar23_basemap-10-Full.png)\n\u003c!---\nlolol\n| Date          | Region   | Length in '000 Km   |\n:----------------:|:------------:|:---------:\n| 20 May 2020 | [United States](https://usaminedroads.z19.web.core.windows.net/USA.zip) | 9,308 |\n| 21 Mar 2021 | [South America](https://usaminedroads.z19.web.core.windows.net/SouthAmerica-Full.zip) | 4,480 |\n| 21 Jan 2022 | [Caribbean Islands](https://usaminedroads.z19.web.core.windows.net/CaribbeanIslands-Full.zip) | 232 |\n| 03 Mar 2022 | [Middle East](https://usaminedroads.z19.web.core.windows.net/MiddleEast-Full.zip) | 3,444 |\n| 05 Apr 2022 | [Central Asia](https://usaminedroads.z19.web.core.windows.net/AsiaCenter-Full.zip) | 1,204 |\n| 18 Apr 2022 | [Northern Africa](https://usaminedroads.z19.web.core.windows.net/AfricaNorth-Full.zip) | 1,077 |\n| 28 Apr 2022 | [Western Africa](https://usaminedroads.z19.web.core.windows.net/AfricaWest-Full.zip) | 982 |\n| 28 Apr 2022 | [Central Africa](https://usaminedroads.z19.web.core.windows.net/AfricaCenter-Full.zip) | 324 |\n| 12 May 2022 | [Eastern Africa](https://usaminedroads.z19.web.core.windows.net/AfricaEast-Full.zip) | 1,151 |\n| 12 May 2022 | [Southern Africa](https://usaminedroads.z19.web.core.windows.net/AfricaSouth-Full.zip) | 1,506 |\n| 08 Jun 2022 | [Europe](https://usaminedroads.z19.web.core.windows.net/Europe-Full.zip) | 10,212 |\n| 03 Jul 2022 | [Oceania](https://usaminedroads.z19.web.core.windows.net/Oceania-Full.zip) | 1,947 |\n| 27 Jul 2022 | [Central America](https://usaminedroads.z19.web.core.windows.net/AmericaCenter-Full.zip) | 1,376 |\n| 03 Aug 2022 | [Canada](https://usaminedroads.z19.web.core.windows.net/Canada-Full.zip) | 1,832 |\n| 13 Aug 2022 | [South Asia](https://usaminedroads.z19.web.core.windows.net/AsiaSouth-Full.zip) | 3,723 |\n| 12 Sep 2022 | [Southeastern Asia](https://usaminedroads.z19.web.core.windows.net/AsiaSouthEast-Full.zip) | 2,744 |\n| 19 Sep 2022 | [North Asia](https://usaminedroads.z19.web.core.windows.net/AsiaNorth-Full.zip) | 2,259 |\n| 27 Feb 2023 | [Japan](https://usaminedroads.z19.web.core.windows.net/Japan-Full.zip) | 1,105 |\n--\u003e\n\u003ctable\u003e\n    \u003cthead\u003e\n        \u003ctr\u003e\n\t    \u003cth colspan=1, rowspan=2\u003eDate\u003c/th\u003e\n            \u003cth colspan=2\u003eAll ML derived Roads\u003c/th\u003e\n            \u003cth colspan=2\u003eML derived Roads missing from OSM\u003c/th\u003e\n        \u003c/tr\u003e\n\t\u003ctr\u003e\n            \u003cth\u003eRegion\u003c/th\u003e \u003cth\u003eLength in '000 Km\u003c/th\u003e\n\t    \u003cth\u003eRegion\u003c/th\u003e \u003cth\u003eLength in '000 Km\u003c/th\u003e\n        \u003c/tr\u003e\n    \u003c/thead\u003e\n    \u003ctbody\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e20 May 2020\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/USA.zip\"\u003eUnited States\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e9,308\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/origUSA-PreMerge.zip\"\u003eUnited States\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e818\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e21 Mar 2021\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/SouthAmerica-Full.zip\"\u003eSouth America\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e4,480\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/SouthAmerica-PreMerge.zip\"\u003eSouth America\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e98\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e21 Jan 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/CaribbeanIslands-Full.zip\"\u003eCaribbean Islands\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e232\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/CaribbeanIslands-PreMerge.zip\"\u003eCaribbean Islands\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e5\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e03 Mar 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/MiddleEast-Full.zip\"\u003eMiddle East\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e3,444\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/MiddleEast-PreMerge.zip\"\u003eMiddle East\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e84\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e 05 Apr 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AsiaCenter-Full.zip\"\u003eCentral Asia\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e1,204\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AsiaCenter-PreMerge.zip\"\u003eCentral Asia\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e28\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e18 Apr 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AfricaNorth-Full.zip\"\u003eNorthern Africa\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e1,077\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AfricaNorth-PreMerge.zip\"\u003eNorthern Africa\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e24\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e28 Apr 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AfricaWest-Full.zip\"\u003eWestern Africa\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e982\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AfricaWest-PreMerge.zip\"\u003eWestern Africa\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e32\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e28 Apr 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AfricaCenter-Full.zip\"\u003eCentral Africa\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e324\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AfricaCenter-PreMerge.zip\"\u003eCentral Africa\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e6\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e12 May 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AfricaEast-Full.zip\"\u003eEastern Africa\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e1,151\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AfricaEast-PreMerge.zip\"\u003eEastern Africa\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e31\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e12 May 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AfricaSouth-Full.zip\"\u003eSouthern Africa\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e1,506\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AfricaSouth-PreMerge.zip\"\u003eSouthern Africa\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e40\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e08 Jun 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/Europe-Full.zip\"\u003eEurope\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e10,212\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e03 Jul 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/Oceania-Full.zip\"\u003eOceania\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e1,947\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e27 Jul 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AmericaCenter-Full.zip\"\u003eCentral America\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e1,376\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e03 Aug 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/Canada-Full.zip\"\u003eCanada\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e1,832\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e13 Aug 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AsiaSouth-Full.zip\"\u003eSouth Asia\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e3,723\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e12 Sep 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AsiaSouthEast-Full.zip\"\u003eSoutheastern Asia\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e2,744\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e19 Sep 2022\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/AsiaNorth-Full.zip\"\u003eNorth Asia\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e2,259\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\t\u003ctr\u003e\n\t\t\t\u003ctd\u003e27 Feb 2023\u003c/td\u003e\n\t\t\t\u003ctd\u003e\u003ca href=\"https://usaminedroads.z19.web.core.windows.net/Japan-Full.zip\"\u003eJapan\u003c/a\u003e\u003c/td\u003e\n\t\t\t\u003ctd\u003e1,105\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\t\u003ctd\u003eN/A\u003c/td\u003e\n\t\t\u003c/tr\u003e\n\t\u003c/tbody\u003e\n\u003c/table\u003e\n\n## FAQ\n\n#### What is the GeoJson format?\nGeoJSON is a format for encoding a variety of geographic data structures. \nFor Intensive Documentation and Tutorials, Refer to [GeoJson Blog](http://geojson.org/)\n\n#### Data generation details:\nThe road extraction is done in four stages (full drop went through two stages and OSM missing set went through all four):\n1.\tSemantic Segmentation – Recognizing road pixels on the aerial image using Convolutional Neural Network (CNN).\n2.\tGeometry Generation - A series of algorithms and processes transforming output of semantic segmentation into roads in geometry format.\n    - Image postprocessing\n    - Thinning\n    - Connectivity improvement\n    - Graph construction\n    - Finalizing road shapes and network quality\n    - Stiching road geojsons between neighboring images where needed\n3.  Conflation \u0026 Cutting - Excluding roads and parts of roads that already exist in the road network (OSM).\n4.  Classification - A classifier to filter out low-confidence roads and predict a road type.\n\n![](/images/scheme.png)\n\n#### Neural network architecture and dataset\nOur network was based on UNet and ResNet and the following papers [U-Net] (https://arxiv.org/abs/1505.04597), [Res U-Net] (https://arxiv.org/pdf/1512.03385.pdf), [Res U-Net] (https://arxiv.org/pdf/1711.10684.pdf).\nThe model was trained on 512x512 images, it is fully-convolutional, which allows images of any size (that is divisable by 64) be processed by the model (constrained by GPU memory, 1088x1088 in our case). The training set consists of 20000 labeled images. Majority of the satellite images cover diverse areas all around the world. To achieve a good set representation, we have enriched the set with samples from various areas covering mountains, glaciers, forests, deserts, beaches, coasts, etc.\nImages in the set are of 1088x1088 pixel size with 100 cm/pixel resolution. The training is done with Keras toolkit.\n\n#### Metrics\nWe measure intermediate stage metrics to track performance of our models. \u003ci\u003ePixel metric\u003c/i\u003e measures performance of the the Convolutional Neural Network and \u003ci\u003e\u003ca href='https://medium.com/the-downlinq/spacenet-road-detection-and-routing-challenge-part-i-d4f59d55bfce'\u003eAPLS metric (Average Path Length Similarity)\u003c/a\u003e\u003c/i\u003e measures overall connectivity after geometry generation stage.\n\n| Metric        | Precision    | Recall    |\n| ------------- |:-------------:|:-------------:|\n|Pixel|85.24%|82.81%|\n|APLS|87.53%|79.33%|\n\n#### Data Vintage\nThe vintage of the roads depends on the vintage of the underlying imagery. Because Bing Imagery is a composite of multiple sources it is difficult to know the exact dates for individual pieces of data.\n\n#### How good is the data?\nThe Osm Missing Data went through a final classifier to ensure that the precision is at least 95% (90% for USA now - to be updated to 95% in 2022). After classifier filters out potentially bad roads we remeasure the precision and make sure that it is 95% before releasing results\n\n#### Why is the data being released?\nMicrosoft has a continued interest in supporting a thriving OpenStreetMap ecosystem.\n\n# Contributing\n\nThis project welcomes contributions and suggestions.  Most contributions require you to agree to a\nContributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us\nthe rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.\n\nWhen you submit a pull request, a CLA bot will automatically determine whether you need to provide\na CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions\nprovided by the bot. You will only need to do this once across all repos using our CLA.\n\nThis project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).\nFor more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or\ncontact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.\n\n# Legal Notices\n\nMicrosoft, Windows, Microsoft Azure and/or other Microsoft products and services referenced in the documentation\nmay be either trademarks or registered trademarks of Microsoft in the United States and/or other countries.\nThe licenses for this project do not grant you rights to use any Microsoft names, logos, or trademarks.\nMicrosoft's general trademark guidelines can be found at http://go.microsoft.com/fwlink/?LinkID=254653.\n\nPrivacy information can be found at https://privacy.microsoft.com/en-us/\n\nMicrosoft and any contributors reserve all other rights, whether under their respective copyrights, patents,\nor trademarks, whether by implication, estoppel or otherwise.\n","funding_links":[],"categories":["awesome-open-transport","Data Sources"],"sub_categories":["7. OS AI"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmicrosoft%2FRoadDetections","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmicrosoft%2FRoadDetections","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmicrosoft%2FRoadDetections/lists"}