README.md

metadata

license: apache-2.0
language:
  - ar
pipeline_tag: image-classification
datasets:
  - arabic-handwritten-characters
metrics:
  - accuracy
model-index:
  - name: arabichar-v3
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: arabic-handwritten-characters
          type: arabic-image-alphabets
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9764

Arabic Handwritten Character Classification

This model is implemented using a custom CNN model, named arabichar, for the classification of handwritten arabic characters (Hijaiyah) on arabic handwritten characters dataset. It achieves the following results on the evaluation set:

• Loss: 2.4150
• Accuracy: 0.9764