sentence-transformers/unsplash-lite
Unsplash Lite Unsplash Lite Dataset.This dataset contains: a subset default with about 25k images and related keywords when available. Keywords are eparated by ; and note that we kept only those where the confident score indicated by Unsplash is higher than 90% a subset embeddings_clip-ViT-B-32 which contains precomputed embeddings of the images via the clip-ViT-B-32 model by OpenAI a subset embeddings_metaclip-2-worldwide-s16-384 which contains precomputed embeddings of the… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/unsplash-lite.
Unsplash Lite
Unsplash Lite Dataset. This dataset contains:
- a subset
defaultwith about 25k images and related keywords when available. Keywords are eparated by;and note that we kept only those where the confident score indicated by Unsplash is higher than 90% - a subset
embeddings_clip-ViT-B-32which contains precomputed embeddings of the images via the clip-ViT-B-32 model by OpenAI - a subset
embeddings_metaclip-2-worldwide-s16-384which contains precomputed embeddings of the images via the metaclip-2-worldwide-s16-384 model by Meta - a subset
embeddings_metaclip-2-worldwide-s16-384-eng-32768which contains precomputed embeddings of the images via the metaclip-2-worldwide-s16-384-eng-32768 model by AlphaEdge
These three precomputed embeddings subsets are useful for tutorial notebooks in the Sentence Transformers documentation showing how to use the lib to perform (multi-lingual) 0-shot image classification, monolingual/multilingual, image clustering and image de-duplication.
License
https://unsplash.com/license
TL;DR: Unsplash images are designed to be used freely, and our license reflects this.
- It is possible to download and use all the images for free
- For commercial and non-commercial purposes
- No permission required (an assignment will always be appreciated!)
What is not allowed 👎
- It is not allowed to sell the images without significant modification.
- Compiling images from Unsplash to replicate a similar or competing service.
Credit to lbourdois for collecting and uploading this dataset.
