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@@ -31,13 +31,12 @@ It combines a ConvNeXt visual encoder with a Qwen-2.5 language model, connected
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  ## Uses
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- The model is trained for precise low-level geometric perception tasks which is able to
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  - Point-on-line detection
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  - Point-on-circle detection
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  - Angle classification
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  - Length comparison
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  - Geometric annotation understanding
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- -
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  Please refer to our [repo](https://github.com/euclid-multimodal/Euclid) for full input format.
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  ### Limitations and Applications
 
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  ## Uses
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+ The model is trained for precise low-level geometric perception tasks which is able to perform
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  - Point-on-line detection
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  - Point-on-circle detection
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  - Angle classification
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  - Length comparison
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  - Geometric annotation understanding
 
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  Please refer to our [repo](https://github.com/euclid-multimodal/Euclid) for full input format.
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  ### Limitations and Applications