{"id":201654,"date":"2024-12-15T04:26:45","date_gmt":"2024-12-15T10:26:45","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2024\/12\/vision-embedding-comparison-for-image-similarity-search-efficientnet-vs-vit-vs-vino-vs-clip-vs-blip2"},"modified":"2024-12-15T04:26:45","modified_gmt":"2024-12-15T10:26:45","slug":"vision-embedding-comparison-for-image-similarity-search-efficientnet-vs-vit-vs-vino-vs-clip-vs-blip2","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2024\/12\/vision-embedding-comparison-for-image-similarity-search-efficientnet-vs-vit-vs-vino-vs-clip-vs-blip2","title":{"rendered":"Vision Embedding Comparison for Image Similarity Search: EfficientNet vs. ViT vs. VINO vs. CLIP vs. BLIP2"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/vision-embedding-comparison-for-image-similarity-search-efficientnet-vs-vit-vs-vino-vs-clip-vs-blip2.jpg\"><\/a><\/p>\n<p>Author(s): Yuki Shizuya Originally published on Towards AI. Photo by gilber franco on UnsplashRecently, I needed to research image similarity search. I wonder if there are any differences among embeddings based on the architecture training methods. However, few blogs compare embeddings among several models. So, in this blog, I will compare the vision embeddings of EfficientNet [1], ViT [2], DINO-v2 [3], CLIP [4], and BLIP-2 [5] for image similarity search using the Flickr dataset [6]. I will mainly use Huggingface and Faiss libraries for implementation. First, I will briefly introduce each deep learning model. Next, I will show you the code implementation and the comparison results.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author(s): Yuki Shizuya Originally published on Towards AI. Photo by gilber franco on UnsplashRecently, I needed to research image similarity search. I wonder if there are any differences among embeddings based on the architecture training methods. However, few blogs compare embeddings among several models. So, in this blog, I will compare the vision embeddings of [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-201654","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/201654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=201654"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/201654\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=201654"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=201654"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=201654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}