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Mirali33
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MOMO-pretraining-data

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Pre-training-data

Foundation-model

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Mirali33 commited on 23 days ago

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@@ -169,7 +169,7 @@ All quality metrics below are computed on the grayscale, min-max normalized vers
 To filter out low-quality images, two primary metrics are recommended, as used in the MOMO paper:
 <figure>
-  <img src="figures/filtering_examples.png" alt="MOMO Pre-training Samples" width="800"/>
   <figcaption>Examples of low-quality (top) and high-quality (bottom) samples from HiRISE, CTX, and THEMIS.</figcaption>
 </figure>

 To filter out low-quality images, two primary metrics are recommended, as used in the MOMO paper:
 <figure>
+  <img src="figures/filtering_samples.png" alt="MOMO Pre-training Samples" width="800"/>
   <figcaption>Examples of low-quality (top) and high-quality (bottom) samples from HiRISE, CTX, and THEMIS.</figcaption>
 </figure>