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  license: mit
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  pipeline_tag: object-detection
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  base_model: Ultralytics/YOLOv8
 
 
 
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  ---
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  This model is a YOLOv8-based object detection model specifically trained for detecting and classifying blood cells in microscopy images. It aims to identify various types of blood cells, such as Red Blood Cells (RBC), Platelets (PLT), and several types of White Blood Cells (WBC), including Neutrophils, Lymphocytes, Monocytes, Eosinophils, and Basophils.
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  ### Recommendations
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- Users should be aware of the model's limitations and verify predictions in critical applications. Continuous monitoring and periodic re-evaluation with updated datasets are recommended.
 
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  license: mit
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  pipeline_tag: object-detection
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  base_model: Ultralytics/YOLOv8
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+ library_name: transformers
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+ tags:
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+ - vision
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  ---
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  This model is a YOLOv8-based object detection model specifically trained for detecting and classifying blood cells in microscopy images. It aims to identify various types of blood cells, such as Red Blood Cells (RBC), Platelets (PLT), and several types of White Blood Cells (WBC), including Neutrophils, Lymphocytes, Monocytes, Eosinophils, and Basophils.
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  ### Recommendations
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+ Users should be aware of the model's limitations and verify predictions in critical applications. Continuous monitoring and periodic re-evaluation with updated datasets are recommended.