| license: apache-2.0 | |
| # 25K Unsplash Images for Search | |
| This is a derivative work based on two existing datasets. | |
| - `images.csv` metadata from [Unsplash](https://github.com/unsplash/datasets), sorted and converted to CSV. | |
| - `images/` in 250x250 resolution by [kaggle/@jettchentt](https://www.kaggle.com/datasets/jettchentt/unsplash-dataset-images-downloaded-250x250). | |
| - `images.fbin` is a binary file with UForm image embeddings. | |
| - `images.usearch` is a binary file with a serialized USearch index. | |
| The original `images.tsv` from Unsplash has been filtered to avoid missing images. | |
| The embeddings and the index can be reconstructed with the `main.py` script. | |
| On the Apple M2 Pro CPU: | |
| - Image vectorization takes 100ms/image, or 10 inferences/second. | |
| - Indexing vectors one-by-one happens at 700 vectors/second speed. | |
| To rebuild the indexes: | |
| ```sh | |
| ./main.py | |
| ``` | |