Objaverse-XL: 10M+ 3D Objects, Zero123-XL

---

Objaverse-XL: 10M+ 3D Objects, Zero123-XL

For Training AI-Powered 3D Rendering

By Huggingface Hub [source]

---

About this dataset

Welcome to the Objaverse-XL dataset, an expansive open-source resource of over 10 million 3D objects! This powerful dataset was created to drive Zero123-XL, a sophisticated AI-driven foundation model for 3D generalization and novel view synthesis. Here you can explore a broad array of innovative and revolutionary uses of AI in 3D rendering.

Objaverse-XL is composed of numerous individual components – each with its own associated data. This includes data regarding source, license, file type, sha 256 hash as well as any supporting metadata included in the list. With this multifaceted dataset at your disposal, there are sure to be endless exciting opportunities for discovery awaiting you! So don’t wait - unleash your imagination now and take advantage of the possibilities that Objaverse-XL has to offer!

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

Welcome to the Objaverse-XL dataset! This incredible open dataset consists of over 10 million 3D objects and associated metadata, created to drive Zero123-XL for 0-shot generalization. Let’s get started with this amazing dataset.

• Get familiar with the data – Take a look at the columns in the dataset and read up on what each one contains: source,license,fileType,sha256, metadata.
• Download & extract – To download the 3D objects from your local computer, you will need to use a software that can decode video files or viewing them through browsers such as Google Chrome or Firefox (for 3D images). You can find detailed instructions about downloading video files in our user manual on our website, including info for other formats like OBJ/FBX/NGCG if needed.
• Explore metadata – In addition to its expansive library of 3D objects, Objaverse-XL also includes various types of associated data which include materials such as textures and lighting information that help define an object’s appearance in a scene as well as motion capturing and animation sequences for each object used by Zero123-XL for learning & adjustment .
• Visualize your findings – With Objaverse-XL you have access to explore graphs exploring relationships between metadata categories even across different datasets which help uncover interesting trends in how AI rendered views are created!
  5 Take advantage of machine learning tools - You can use our open source tools built specifically for interpreting the contents of this dataset so you can better understand training data used by Zero123criminate betwene unconventional views rendred from different models quickly without having to manually scan throughg every individual file .

Hopefully this guide has been helpful in getting you comfortable working with this remarkable data set—happy exploring!

Research Ideas

• Leveraging machine learning to identify objects in augmented reality applications.
• Using the 3D objects in virtualreality simulations to create an enhanced user experience.
• Generating custom 3D-modeled products from customer designs or specifications that are more cost effective and faster than traditional methods of manufacturing based on 3D object generalization algorithms available through Zero123-XL

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: train.csv

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Huggingface Hub.