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Update README.md

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  base_model:
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  - Ultralytics/YOLO11
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  base_model:
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  - Ultralytics/YOLO11
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+ Clearly establishes the broader context and purpose of the model card, articulating the need for the model within its application domain and explaining its environmental or real-world relevance.
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+ Clearly describes the dataset used, including data sources, features, metadata, and class distributions (with counts for each class).
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+ Clearly presents and explains the choice of model, including a detailed rationale for its selection and a clear plan for implementation.
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+ Clearly describes the performance metrics used to assess the model, includes at least one performance-related graph (e.g., training/validation loss, accuracy, or clustering context figure), and provides a detailed explanation of its significance. For unsupervised learning (e.g., KMeans), a context figure showing cluster distribution and meaning is required.
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+ Clearly describes an example study that could be conducted using the model, including a specific hypothesis and a well-justified explanation of why the model is an effective tool for the study. For unsupervised projects, includes clear instructions for submitting a markdown document with a context figure explaining cluster meanings.