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.
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
