DamianBoborzi/MeshFleet

This is a curated collection of 3D car models derived from Objaverse-XL described in MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain Specific Generative Modeling. The MeshFleet dataset provides metadata for 3D car models, including their SHA256 from Objaverse-XL, vehicle category, and size. The core dataset is available as a CSV file: meshfleet_with_vehicle_categories_df.csv. You can easily load it using pandas:

import pandas as pd

meshfleet_df = pd.read_csv('./data/meshfleet_with_vehicle_categories_df.csv')
print(meshfleet_df.head())

The actual 3D models can be downloaded from Objaverse-XL using their corresponding SHA256 hashes. Pre-rendered images of the MeshFleet models are also available within the Hugging Face repository in the renders directory, organized as renders/{sha256}/00X.png. The code used to generate this dataset can be found at https://github.com/FeMa42/MeshFleet.git.