{"url":"/dataset/vehiclex","name":"VehicleX","full_name":null,"description_markdown":"**VehicleX** is a large-scale synthetic dataset. Created in Unity, it contains 1,362 vehicles of various 3D models with fully editable attributes.\n\nSource: [https://github.com/yorkeyao/VehicleX](https://github.com/yorkeyao/VehicleX)\nImage Source: [https://arxiv.org/pdf/1912.08855.pdf](https://arxiv.org/pdf/1912.08855.pdf)","description_withheld":null,"homepage":"https://github.com/yorkeyao/VehicleX","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/simulating-content-consistent-vehicle","title":"Simulating Content Consistent Vehicle Datasets with Attribute Descent","first_author":"Yue Yao","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Vehicle Re-Identification","url":"/task/vehicle-re-identification","datasets_with_task":"/datasets/task/vehicle-re-identification"},{"name":"Data Augmentation","url":"/task/data-augmentation","datasets_with_task":"/datasets/task/data-augmentation"}],"languages":[],"variants":["VehicleX"],"data_loaders":[{"repo":"https://github.com/yorkeyao/VehicleX","url":"https://github.com/yorkeyao/VehicleX","frameworks":["pytorch"]}],"num_papers_in_archive":16,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}