Datasets:
Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,14 @@
|
|
1 |
-
---
|
2 |
-
license: apache-2.0
|
3 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
---
|
4 |
+
|
5 |
+
This is a curated collection of 3D car models derived from Objaverse-XL. 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:
|
6 |
+
|
7 |
+
```python
|
8 |
+
import pandas as pd
|
9 |
+
|
10 |
+
meshfleet_df = pd.read_csv('./data/meshfleet_with_vehicle_categories_df.csv')
|
11 |
+
print(meshfleet_df.head())
|
12 |
+
```
|
13 |
+
|
14 |
+
The actual 3D models can be downloaded from [Objaverse-XL](https://github.com/allenai/objaverse-xl.git) 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>.
|