{"url":"/dataset/meshfleet","name":"MeshFLeet","full_name":"eshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling  Resources","description_markdown":"MeshFleet is a filtered and annotated dataset of High Quality vehicles derived from Objaverse XL. It contains the sha256 of the objects together with consitent object captions and vehicle parameters.","description_withheld":null,"homepage":"https://huggingface.co/datasets/DamianBoborzi/MeshFleet","introduced_date":"2025-03-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/meshfleet-filtered-and-annotated-3d-vehicle","title":"MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling","first_author":"Damian Boborzi","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3D","url":"/datasets/modality/3d"}],"tasks":[{"name":"3D Generation","url":"/task/3d-generation","datasets_with_task":"/datasets/task/3d-generation"}],"languages":[],"variants":["MeshFLeet"],"data_loaders":[],"num_papers_in_archive":1,"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."}