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nllb-siglip-mrl-base

Zero-Shot Image Classification

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visheratin commited on Mar 10

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@@ -21,9 +21,9 @@ preserve 90%+ of the full embedding quality.
 The full embedding model sets new state-of-the-art for multilingual image and text retrieval on both XTD10 and Crossmodal-3600.
 | Dataset         | image retrieval R@1, avg | text retrieval R@1, avg | image retrieval R@5, avg | text retrieval R@5, avg | image retrieval R@10, avg | text retrieval R@10, avg |
-|-----------------|:------------------------:|:------------------:|:-------------------:|:------------------:|:--------------------:|:-------------------:|
-| Crossmodal-3600 |        0.6079       |        0.5741      |     0.8333          |      0.8174        |        0.8922        |      0.8816         |
-| XTD10           |        0.6997       |        0.6433      |     0.8988          |      0.8848        |        0.9503        |      0.9449         |
 ## How to use

 The full embedding model sets new state-of-the-art for multilingual image and text retrieval on both XTD10 and Crossmodal-3600.
 | Dataset         | image retrieval R@1, avg | text retrieval R@1, avg | image retrieval R@5, avg | text retrieval R@5, avg | image retrieval R@10, avg | text retrieval R@10, avg |
+|-----------------|:---------------------:|:--------------------:|:---------------------:|:--------------------:|:----------------------:|:---------------------:|
+| Crossmodal-3600 |        0.5539       |             0.5232 |     0.7963          |       0.7792       |        0.8643        |      0.8558         |
+| XTD10           |        0.6559       |             0.6106 |     0.8846          |       0.8643       |        0.9458        |      0.9379         |
 ## How to use