Skip to content

TuSimple lane detection dataset addon with class information.

Notifications You must be signed in to change notification settings

fabvio/TuSimple-lane-classes

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

TuSimple Lane Challenge Class Labels

This repository contains the class labels for the lane boundaries of the TuSimple lane detection dataset. You can download the dataset from TuSimple/tusimple-benchmark#3.

Classes

Each lane boundary in the dataset is annotated using 7 different classes. Lanes that cannot be uniquely identified are annotated as Unknown. A hierarchical representation of the classes is shown below. Even if the Double-dashed-continuous class has been considered during the annotation process for completeness, there are no examples in the dataset of that class. The names of the class ids are in class_mapping.txt.

hierarchy

Installation

First of all, download the dataset and extract it. Then, move the files inside the data folder inside the resulting folder.

mv data/* path/to/dataset/train_set

You can obtain a .json file with an additional class field with the converter.py script. Launch it with:

python converter.py --root /path/to/dataset

It is also possible to visualize the annotations with the visualizer.py script. Launch with:

python visualizer.py --root /path/to/dataset --labels labels_json_file.json

Citation

If this dataset is useful for you, we would appreciate a citation to our paper:

@misc{pizzati2019lane,
    title={Lane Detection and Classification using Cascaded CNNs},
    author={Fabio Pizzati and Marco Allodi and Alejandro Barrera and Fernando García},
    year={2019},
    eprint={1907.01294},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}