
This dataset is a shuffled list of downloadable CC0 image titles and URLs from [Smithsonian Open Access](https://github.com/Smithsonian/OpenAccess).
Some images may be omitted due to limitations or oversights in the preprocessing pipeline, but there's no deliberate curation.

This dataset only contains metadata; a tool like https://github.com/rom1504/img2dataset can be used to download the actual images:

```bash
img2dataset --url_list data --output_folder data_files \
   --input_format "parquet" --output_format files \
   --caption_col "text" --url_col "url" \
   --image_size 256 --min_image_size 128 --resize_mode keep_ratio --resize_only_if_bigger true \
   --processes_count 16 --thread_count 128
```

This dataset is dominated by botanical images from NMNH. Here's what a random selection looks like with all NMNH images excluded:

![](random_non_nmnh.png)

vs. a true-random selection:

![](true_random.png)
license:cc0-1.0 region:us
{"license": "cc0-1.0"}
TAGS
#license-cc0-1.0 #region-us 


This dataset is a shuffled list of downloadable CC0 image titles and URLs from Smithsonian Open Access.
Some images may be omitted due to limitations or oversights in the preprocessing pipeline, but there's no deliberate curation.

This dataset only contains metadata; a tool like URL can be used to download the actual images:



This dataset is dominated by botanical images from NMNH. Here's what a random selection looks like with all NMNH images excluded:

![](random_non_nmnh.png)

vs. a true-random selection:

![](true_random.png)
TAGS
#license-cc0-1.0 #region-us 

passage: TAGS
#license-cc0-1.0 #region-us 
