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---
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](https://www.kaggle.com/datasets/mloey1/ahcd1) dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4150
- Accuracy: 0.9764
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