README.md

metadata

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 This Dataset was used to finetune Stable Diffusion 2 in order to generate good (isolated, full object ...) images to feed an image to 3D model after that (like Triposr or 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.