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--- |
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license: apache-2.0 |
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language: |
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- ar |
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pipeline_tag: image-classification |
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datasets: |
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- arabic-handwritten-characters |
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metrics: |
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- accuracy |
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model-index: |
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- name: arabichar-v3 |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: arabic-handwritten-characters |
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type: arabic-image-alphabets |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9764 |
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--- |
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# Arabic Handwritten Character Classification |
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This model is implemented using a custom CNN model, named arabichar, for the classification of handwritten arabic characters (Hijaiyah) on [arabic handwritten characters](https://www.kaggle.com/datasets/mloey1/ahcd1) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4150 |
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- Accuracy: 0.9764 |
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