prithivMLmods
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RSI-CB256-35

Image Classification

Remote Sensing Instruments

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prithivMLmods commited on May 2

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 # **RSI-CB256-35**
-> **RSI-CB256-35** is a vision-language encoder model fine-tuned from **google/siglip2-base-patch16-256** for **multi-class remote sensing image classification**. Built using the **SiglipForImageClassification** architecture, it is designed to accurately categorize overhead imagery into 35 distinct land-use and land-cover categories.
 ```py
 Classification Report:

 # **RSI-CB256-35**
+> **RSI-CB256-35** is a vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for **multi-class remote sensing image classification**. Built using the **SiglipForImageClassification** architecture, it is designed to accurately categorize overhead imagery into 35 distinct land-use and land-cover categories.
 ```py
 Classification Report: