Datasets:

Modalities:
Image
Text
Formats:
parquet
Libraries:
Datasets
Dask
License:
GDefrevillePEReN commited on
Commit
ec7f335
·
verified ·
1 Parent(s): 8c17eee

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +11 -10
README.md CHANGED
@@ -48,22 +48,24 @@ Official repository: https://code.peren.gouv.fr/open-source/ai-action-summit/ge
48
 
49
  This dataset can be used to assess detection models performances, and in particular their robustness to successive updates of the generation model. 
50
 
 
 
51
  ### Dataset description
52
 
53
  1.000 generated images with four different versions of stability AI text-to-image diffusion model.
54
 
55
  For each models, we generated:
56
 
57
- - 500 portraits (👨) using SFHQ-T2I "random" prompts for faces (see Github repo, and dataset on Kaggle),
58
- - 500 more general content images (🖼️) using captions of Google's Conceptual Captions dataset.
59
 
60
 
61
  | Model | Number of images |
62
  |:-----------------------------------------------:|:----------------:|
63
- | stabilityai/stable-diffusion-xl-base-1.0 | 500 👨 + 500 🖼️ |
64
- | stabilityai/stable-diffusion-2-1 | 500 👨 + 500 🖼️ |
65
- | stabilityai/stable-diffusion-3-medium-diffusers | 500 👨 + 500 🖼️ |
66
- | stabilityai/stable-diffusion-3.5-large | 500 👨 + 500 🖼️ |
67
 
68
  ### Reproducibility
69
 
@@ -90,15 +92,14 @@ AIS-4SD/
90
  └── StableDiffusion-XL-other-20250203-1727
91
  ```
92
 
93
- The metadata for generated images (see generation_metadata.csv) are:
94
 
95
  - `model`: model used for generation,
96
  - `prompt`: prompt used for generation (ie Conceptual Captions caption or sfhqt2i prompt, with some minor prompt engineering),
97
  - `guidance_scale`: guidance scale of diffusion process,
98
- - `num_inference_steps`: number of inference steps of diffusion process,
99
- - `generated_img_relative_path`: relative path to image in zip structure.
100
 
101
 
102
  ## Project status
103
 
104
- Project is under ongoing development. A preliminary blog post can be found here: https://www.peren.gouv.fr/en/perenlab/2025-02-11_ai_summit/.
 
48
 
49
  This dataset can be used to assess detection models performances, and in particular their robustness to successive updates of the generation model. 
50
 
51
+ YOu can also find this dataset on [Zenodo](https://zenodo.org/records/15131117)
52
+
53
  ### Dataset description
54
 
55
  1.000 generated images with four different versions of stability AI text-to-image diffusion model.
56
 
57
  For each models, we generated:
58
 
59
+ - 500 portraits (👨) using SFHQ-T2I "random" prompts for faces (see [Github repo](https://github.com/SelfishGene/SFHQ-T2I-dataset), and [dataset on Kaggle](https://www.kaggle.com/datasets/selfishgene/sfhq-t2i-synthetic-faces-from-text-2-image-models)),
60
+ - 500 more general content images (🖼️) using captions of Google's [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions) dataset.
61
 
62
 
63
  | Model | Number of images |
64
  |:-----------------------------------------------:|:----------------:|
65
+ | [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) | 500 👨 + 500 🖼️ |
66
+ | [stabilityai/stable-diffusion-2-1](https://huggingface.co/stabilityai/stable-diffusion-2-1) | 500 👨 + 500 🖼️ |
67
+ | [stabilityai/stable-diffusion-3-medium-diffusers](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers) | 500 👨 + 500 🖼️ |
68
+ | [stabilityai/stable-diffusion-3.5-large](https://huggingface.co/stabilityai/stable-diffusion-3.5-large) | 500 👨 + 500 🖼️ |
69
 
70
  ### Reproducibility
71
 
 
92
  └── StableDiffusion-XL-other-20250203-1727
93
  ```
94
 
95
+ The metadata for generated images are:
96
 
97
  - `model`: model used for generation,
98
  - `prompt`: prompt used for generation (ie Conceptual Captions caption or sfhqt2i prompt, with some minor prompt engineering),
99
  - `guidance_scale`: guidance scale of diffusion process,
100
+ - `num_inference_steps`: number of inference steps of diffusion process.
 
101
 
102
 
103
  ## Project status
104
 
105
+ Project is under ongoing development. A preliminary blog post can be found here: [https://www.peren.gouv.fr/en/perenlab/2025-02-11_ai_summit/](https://www.peren.gouv.fr/en/perenlab/2025-02-11_ai_summit/).