UrbanLaneGraph Dataset & Benchmark

October 16, 2024 ยท View on GitHub

The UrbanLaneGraph dataset is a first-of-its-kind dataset for large-scale lane graph estimation from aerial images.

Website

DOI DOI DOI

UrbanLaneGraph Dataset

DOI

To view the download instructions, please see the file DOWNLOAD.md

Dataset processing

Instructions on how to process the dataset into a representation suitable for model training may be found in dataset_preparation/PROCESS_DATA.md.

Model training

Based on a number of requests regarding pre-trained model checkpoints, we provide them here.

The models defined in methods/ can be trained using the scripts methods/train_centerline_regression.py and methods/train_lanegnn.py. For more information, please see methods/TRAINING.md.

Evaluator

DOI

To install the urbanlanegraph_evaluator package, find the instructions in urbanlanegraph_evaluator/INSTALL.md.

Instructions on how to evaluate your model locally using the package may be found in urbanlanegraph_evaluator/EVALUATION_INSTRUCTIONS.md.

UrbanLaneGraph Benchmark on Eval.AI

Coming soon!

Acknowledgements

We thank the following projects for making their code available: