https://github.com/jakarto3d/jakarto_datasets

Jakarto datasets containing real-world 3d data from lidar sensors.
https://github.com/jakarto3d/jakarto_datasets

datasets jakarto lidar lidar-point-cloud machine-learning object-detection pointcloud pointcloud-3d-detection

Last synced: about 1 year ago
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Jakarto datasets containing real-world 3d data from lidar sensors.

• Host: GitHub
• URL: https://github.com/jakarto3d/jakarto_datasets
• Owner: jakarto3d
• License: mit
• Created: 2019-12-06T22:08:11.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-12-10T13:16:50.000Z (over 6 years ago)
• Last Synced: 2025-04-25T10:23:54.249Z (about 1 year ago)
• Topics: datasets, jakarto, lidar, lidar-point-cloud, machine-learning, object-detection, pointcloud, pointcloud-3d-detection
• Language: Python
• Homepage:
• Size: 6.93 MB
• Stars: 9
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

          
# Jakarto datasets for 3d detection challenge of urban assets

[![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) 

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We 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.

![jakarto car detection](https://raw.githubusercontent.com/jakarto3d/jakarto_datasets/master/doc/images/jakarto_car_detection.png)

![jakarto urban object detection](https://raw.githubusercontent.com/jakarto3d/jakarto_datasets/master/doc/images/jakarto_urban_object_detection.png)

Those datasets have been gathered with the [Jakarto](https://www.jakarto.com) truck.

![jakarto truck](https://raw.githubusercontent.com/jakarto3d/jakarto_datasets/master/doc/images/camion_jakarto.jpg)

## Installation

This API requires `python 3.6+`.

```sh

pip install jakarto-datasets

```

## Usage

```python

from jakarto_datasets.datasets.storm_drains import StormDrainsDataset

# Load dataset

storm_drains_2019 = StormDrainsDataset()

for data in storm_drains_2019.training_set:

    coordinates = data.get_coordinates_data()

    lidar_data = data.get_lidar_data()

    

    label = data.get_label_lidar_data()

    

    print(data)

    print(coordinates.shape)

    print(lidar_data.shape)

    print(label.shape)

    

    print(lidar_data['intensity'])

```

## Datasets

| datasets | year | size | 3d lidar | label | raster | mask | `len(training_set)` | `len(testing_set)` | examples |

| --- | --- | --- | --- | --- | --- | --- | --- | --- | ---|

| [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) |

## Benchmarks

We will be more than happy to share your experiments.

| datasets | title | authors | links | description |

| -- | -- | --  | -- | -- |

| 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. |

|...                | ...                    | ...           | ...                                                                     |             |

## Citation

If you find this work useful and wish to refer to, please consider the following BibTeX entry:

    @MISC{jakarto_datasets,

        author = {Loic Messal and Cedric Pelletier},

        title = {Jakarto datasets},

        year = {2019},

        howpublished={\url{https://github.com/jakarto3d/jakarto_datasets}}

    }

A github star may also help.

## Contact

If you want to email us, please send an email to contact@jakarto.com.

## License

This project is licensed under the terms of the MIT license. (see LICENSE.txt file for details).