---
tags:
- 3D Vision
- NeRF
- 3D Gaussian
- Dataset
- Novel View Synthesis
- Text to 3D
- Image to 3D
pretty_name: Dl3DV-Dataset
size_categories:
- n>1T
---

# DL3DV-Dataset 
This repo has all the 960P frames with camera poses of DL3DV-10K Dataset. We are working hard to review all the dataset to avoid sensitive information. Thank you for your patience. 

# Download
If you have enough space, you can use git to download a dataset from huggingface. See this [link](https://huggingface.co/docs/hub/en/datasets-downloading). [480P](https://huggingface.co/datasets/DL3DV/DL3DV-ALL-480P)/[960P](https://huggingface.co/datasets/DL3DV/DL3DV-ALL-960P) versions should satisfies most needs. 

If you do not have enough space, we further provide a [download script](https://github.com/DL3DV-10K/Dataset/blob/main/scripts/download.py) here to download a subset. The usage: 
```Bash
usage: download.py [-h] --odir ODIR --subset {1K,2K,3K,4K,5K,6K,7K,8K,9K,10K} --resolution {4K,2K,960P,480P} --file_type {images+poses,video,colmap_cache} [--hash HASH]
                  [--clean_cache]

optional arguments:
  -h, --help            show this help message and exit
  --odir ODIR           output directory
  --subset {1K,2K,3K,4K,5K,6K,7K,8K,9K,10K}
                        The subset of the benchmark to download
  --resolution {4K,2K,960P,480P}
                        The resolution to donwnload
  --file_type {images+poses,video,colmap_cache}
                        The file type to download
  --hash HASH           If set subset=hash, this is the hash code of the scene to download
  --clean_cache         If set, will clean the huggingface cache to save space
```

Here are some examples:
```Bash
# Make sure you have applied for the access.
# Use this to download the download.py script 
wget https://raw.githubusercontent.com/DL3DV-10K/Dataset/main/scripts/download.py 

# Download 960P resolution images and poses, 0~1K subset, output to DL3DV-10K directory   
python download.py --odir DL3DV-10K --subset 1K --resolution 960P --file_type images+poses --clean_cache


# Download 960P resolution images and poses, 1K~2K subset, output to DL3DV-10K directory   
python download.py --odir DL3DV-10K --subset 2K --resolution 960P --file_type images+poses --clean_cache
```

You can also download a specific scene with its hash. The scene-hash pair visualization can be found [here](https://htmlpreview.github.io/?https://github.com/DL3DV-10K/Dataset/blob/main/visualize/index.html).

```Bash
python download.py --odir DL3DV-10K --subset 2K --resolution 960P --file_type images+poses --hash e2cedefea8a0ed2d0ffbd5bdc08acbe7e1f85c96f72f7b790e9dfe1c98963047 --clean_cache
```

# News 
- [x] DL3DV-1K, 2K, 3K, 4K
- [ ] DL3DV-5K ~ 10K