hello,
I use qdrant to store facenet 512D Embeddings.
Consider person A has two images they have >0.7 Cosine Simalirty while comparing the Embeddings.
When I try to visualize them they appear far apart and they are closer to other embeddings of faces of different people.
But when I use find similar Option they appear closer to each other. ie if i find similar for person A all the other entries for Person A Appear in the search.
ive tried changing the algorithms etc. But still no luck.
How do I fix it or is it an issue of the embeddings. But the embeddings are searched properly via the search method. ie similar ones are only picked.
hello,
I use qdrant to store facenet 512D Embeddings.
Consider person A has two images they have >0.7 Cosine Simalirty while comparing the Embeddings.
When I try to visualize them they appear far apart and they are closer to other embeddings of faces of different people.
But when I use find similar Option they appear closer to each other. ie if i find similar for person A all the other entries for Person A Appear in the search.
ive tried changing the algorithms etc. But still no luck.
How do I fix it or is it an issue of the embeddings. But the embeddings are searched properly via the search method. ie similar ones are only picked.