---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': train
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 796865621.92
    num_examples: 1030
  download_size: 792357206
  dataset_size: 796865621.92
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Stable Diffusion Dataset For 3D images generation

This is a set of 1.030 pairs prompt-image filtered and extracted from the 3D dataset [Objaverse](https://objaverse.allenai.org/)
This Dataset was used to finetune [Stable Diffusion 2](https://huggingface.co/stabilityai/stable-diffusion-2) in order to generate good (isolated, full object ...) images to feed an image to 3D model after that (like [Triposr](https://github.com/VAST-AI-Research/TripoSR) or [CRM](https://huggingface.co/Zhengyi/CRM)).

The issue we faced here was to chose which image to keep as most Objaverse objects had no title, no description or an inadequate one (for instance : School Project n°45). Thus the images have been sorted manually and by keeping around 20% of them we managed to build a 1000 big image dataset.