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@@ -24,6 +24,7 @@ The model was pre-trained on the Cashew Disease Identification with AI (CADI-AI)
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  The CADI-AI dataset is available via [Kaggle](https://www.kaggle.com/datasets/karaagroaiprojects/cadi-ai) and
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  [HuggingFace](https://huggingface.co/datasets/KaraAgroAI/CADI-AI).
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  ## Intended uses
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  You can use the raw model for object detection on cashew images.
@@ -106,9 +107,13 @@ This limitation is an inherent challenge in the dataset and can impact the model
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  However, it is worth noting that the model exhibits strong performance when it comes to the insect class.
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  This is attributed to the distinct characteristics of insect class, which make them easier to identify and classify accurately.
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- ### Spaces
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  [CADI-AI Spaces demonstration](https://huggingface.co/spaces/KaraAgroAI/CADI-AI)
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  ### Example prediction
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  <div align="center">
 
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  The CADI-AI dataset is available via [Kaggle](https://www.kaggle.com/datasets/karaagroaiprojects/cadi-ai) and
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  [HuggingFace](https://huggingface.co/datasets/KaraAgroAI/CADI-AI).
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+
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  ## Intended uses
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  You can use the raw model for object detection on cashew images.
 
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  However, it is worth noting that the model exhibits strong performance when it comes to the insect class.
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  This is attributed to the distinct characteristics of insect class, which make them easier to identify and classify accurately.
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+ ### Demo
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  [CADI-AI Spaces demonstration](https://huggingface.co/spaces/KaraAgroAI/CADI-AI)
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+ ### Project Repo
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+ If you want to know how the model and dataset has been used further for the GIZ-funded activity, please have a look at:
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+ - The [GitHub repository](https://github.com/karaagro/cadi-ai) for the CADI AI desktop application
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+
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  ### Example prediction
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  <div align="center">