Qdrant/wolt-food-clip-ViT-B-32-embeddings

wolt-food-clip-ViT-B-32-embeddings Qdrant's Food Discovery demo relies on the dataset of food images from the Wolt app. Each point in the collection represents a dish with a single image. The image is represented as a vector of 512 float numbers. Generation process The embeddings generated with clip-ViT-B-32 model have been generated using the following code snippet: from PIL import Image from sentence_transformers import SentenceTransformer image_path =… See the full description on the dataset page: https://huggingface.co/datasets/Qdrant/wolt-food-clip-ViT-B-32-embeddings.

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