{"id":28156013,"url":"https://github.com/jakarto3d/jakarto_datasets","last_synced_at":"2025-05-15T07:17:26.752Z","repository":{"id":62572085,"uuid":"226419349","full_name":"jakarto3d/jakarto_datasets","owner":"jakarto3d","description":"Jakarto datasets containing real-world 3d data from lidar sensors.","archived":false,"fork":false,"pushed_at":"2019-12-10T13:16:50.000Z","size":7269,"stargazers_count":9,"open_issues_count":0,"forks_count":0,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-04-25T10:23:54.249Z","etag":null,"topics":["datasets","jakarto","lidar","lidar-point-cloud","machine-learning","object-detection","pointcloud","pointcloud-3d-detection"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jakarto3d.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-12-06T22:08:11.000Z","updated_at":"2024-08-09T23:27:40.000Z","dependencies_parsed_at":"2022-11-04T00:30:05.069Z","dependency_job_id":null,"html_url":"https://github.com/jakarto3d/jakarto_datasets","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jakarto3d%2Fjakarto_datasets","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jakarto3d%2Fjakarto_datasets/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jakarto3d%2Fjakarto_datasets/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jakarto3d%2Fjakarto_datasets/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jakarto3d","download_url":"https://codeload.github.com/jakarto3d/jakarto_datasets/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254292094,"owners_count":22046428,"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":["datasets","jakarto","lidar","lidar-point-cloud","machine-learning","object-detection","pointcloud","pointcloud-3d-detection"],"created_at":"2025-05-15T07:15:06.986Z","updated_at":"2025-05-15T07:17:26.740Z","avatar_url":"https://github.com/jakarto3d.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Jakarto datasets for 3d detection challenge of urban assets\n\n[![Build Status](https://travis-ci.org/jakarto3d/jakarto_datasets.svg?branch=master)](https://travis-ci.org/jakarto3d/jakarto_datasets) [![Code coverage](https://codecov.io/gh/jakarto3d/jakarto_datasets/branch/master/graph/badge.svg)](https://codecov.io/gh/jakarto3d/jakarto_datasets) [![License](https://img.shields.io/github/license/jakarto3d/jakarto_datasets)](https://github.com/jakarto3d/jakarto_datasets/blob/master/LICENSE.txt) \n[![PyPI version](https://badge.fury.io/py/jakarto-datasets.svg)](https://badge.fury.io/py/jakarto-datasets) [![GitHub stars](https://img.shields.io/github/stars/jakarto3d/jakarto_datasets.svg?style=flat\u0026label=github\u0026nbsp;stars\u0026nbsp;\u0026starf;)](https://GitHub.com/jakarto3d/jakarto_datasets/stargazers/)\n\n\nWe built that python API to share some real-world 3d lidar datasets of urban assets. We hope to help some of you to develop and test algorithms about 3d lidar processing.\n\n\n![jakarto car detection](https://raw.githubusercontent.com/jakarto3d/jakarto_datasets/master/doc/images/jakarto_car_detection.png)\n![jakarto urban object detection](https://raw.githubusercontent.com/jakarto3d/jakarto_datasets/master/doc/images/jakarto_urban_object_detection.png)\n\nThose datasets have been gathered with the [Jakarto](https://www.jakarto.com) truck.\n![jakarto truck](https://raw.githubusercontent.com/jakarto3d/jakarto_datasets/master/doc/images/camion_jakarto.jpg)\n\n\n## Installation\nThis API requires `python 3.6+`.\n\n```sh\npip install jakarto-datasets\n```\n\n## Usage\n```python\nfrom jakarto_datasets.datasets.storm_drains import StormDrainsDataset\n\n# Load dataset\nstorm_drains_2019 = StormDrainsDataset()\n\nfor data in storm_drains_2019.training_set:\n    coordinates = data.get_coordinates_data()\n    lidar_data = data.get_lidar_data()\n    \n    label = data.get_label_lidar_data()\n    \n    print(data)\n    print(coordinates.shape)\n    print(lidar_data.shape)\n    print(label.shape)\n    \n    print(lidar_data['intensity'])\n```\n\n\n## Datasets\n\n| datasets | year | size | 3d lidar | label | raster | mask | `len(training_set)` | `len(testing_set)` | examples |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | ---|\n| [storm drains](examples/storm_drains/README.md) | 2019 | 2,29 Go | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | 223 | 150 | [see examples](examples/storm_drains/README.md) |\n\n\n## Benchmarks\n\nWe will be more than happy to share your experiments.\n\n| datasets | title | authors | links | description |\n| -- | -- | --  | -- | -- |\n| storm drains 2019 | balanced random forest | Jakarto team  | [link](examples/storm_drains/machine_learning/storm_drains_machine_learning.py) | Use a deadly simple balanced random forest to classify each point from lidar data. Although it doesn't use spatial information, it allowed Jakarto to detect ~25% of storm drains. Those storm drains will be added to the Jakarto storm drains 2020 dataset. |\n|...                | ...                    | ...           | ...                                                                     |             |\n\n\n## Citation\n\nIf you find this work useful and wish to refer to, please consider the following BibTeX entry:\n\n    @MISC{jakarto_datasets,\n        author = {Loic Messal and Cedric Pelletier},\n        title = {Jakarto datasets},\n        year = {2019},\n        howpublished={\\url{https://github.com/jakarto3d/jakarto_datasets}}\n    }\n\nA github star may also help.\n\n## Contact\nIf you want to email us, please send an email to contact@jakarto.com.\n\n## License\nThis project is licensed under the terms of the MIT license. (see LICENSE.txt file for details).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjakarto3d%2Fjakarto_datasets","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjakarto3d%2Fjakarto_datasets","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjakarto3d%2Fjakarto_datasets/lists"}