I’m working on a Logo Similarity System using AI. I have a dataset of around 5,000 logo images. The idea is that the user uploads a logo, and the model compares it to the dataset and returns the Top 5 most similar logos.
I’ve already tried using image embeddings, but the results are quite inaccurate — the similarity scores are too high even when the logos are clearly different.
Any suggestions for models or techniques I can use to improve this? I’m looking for something more reliable for logo comparison.
submitted by /u/Important_Grass7243 to r/learnmachinelearning
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