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  # Molecule Detection YOLO in MolParser2.0
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- Compared to [MolDet](https://huggingface.co/UniParser/MolDet), **MolDetv2** leverages more manually annotated training data, with further optimizations specifically for reducing molecular false detections and improving bounding box regression, achieving stronger performance with a smaller model.
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  ## [MolDet-General] universal molecule structure detection
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  ![image](https://cdn-uploads.huggingface.co/production/uploads/65f7f16fb6941db5c2e7c4bf/iZqZ8rUsD6jacIJr8Hbag.png)
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- ![image](https://cdn-uploads.huggingface.co/production/uploads/65f7f16fb6941db5c2e7c4bf/cVEMAL4xpy-y2vgmQ5mR-.png)
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-
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  features:
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  * 640x640 input resolution
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  * support handwritten molecules detection
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  ![image](https://cdn-uploads.huggingface.co/production/uploads/65f7f16fb6941db5c2e7c4bf/rKZjaZ0EingRtxdIe5Ptz.png)
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- ![image](https://cdn-uploads.huggingface.co/production/uploads/65f7f16fb6941db5c2e7c4bf/KHwlqpRZzTOlbOdCG7SyD.png)
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- ![image](https://cdn-uploads.huggingface.co/production/uploads/65f7f16fb6941db5c2e7c4bf/l-oNYAv3aGbqvGjImYstW.png)
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  features:
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  * 960x960 input resolution
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  * prefer **single page PDF image** input
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  Please refer to [MolDet-Bench](https://huggingface.co/datasets/UniParser/MolDet-Bench)
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  ## 📖 Citation
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  # Molecule Detection YOLO in MolParser2.0
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+ Compared to [MolDet](https://huggingface.co/UniParser/MolDet), our new **MolDetv2** model leverages more manually annotated training data, with further optimizations specifically for reducing molecular false detections and improving bounding box regression, achieving stronger performance with a smaller model.
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  ## [MolDet-General] universal molecule structure detection
 
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  ![image](https://cdn-uploads.huggingface.co/production/uploads/65f7f16fb6941db5c2e7c4bf/iZqZ8rUsD6jacIJr8Hbag.png)
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  features:
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  * 640x640 input resolution
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  * support handwritten molecules detection
 
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  ![image](https://cdn-uploads.huggingface.co/production/uploads/65f7f16fb6941db5c2e7c4bf/rKZjaZ0EingRtxdIe5Ptz.png)
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  features:
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  * 960x960 input resolution
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  * prefer **single page PDF image** input
 
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  Please refer to [MolDet-Bench](https://huggingface.co/datasets/UniParser/MolDet-Bench)
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/65f7f16fb6941db5c2e7c4bf/cVEMAL4xpy-y2vgmQ5mR-.png)
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/65f7f16fb6941db5c2e7c4bf/KHwlqpRZzTOlbOdCG7SyD.png)
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/65f7f16fb6941db5c2e7c4bf/l-oNYAv3aGbqvGjImYstW.png)
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+
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  ## 📖 Citation
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