A CRNN model for Persian OCR. This model is based on a simple CNN + LSTM architecture inspired by
this paper
.
More info about data and training will be provided soon.
Note that this model is only optimized for scanned documents and supports input characters of up to 32 (For an end-to-end OCR pipeline, use a text detector
model first to extract text boxes preferrably in word-level and then use this model), but it can be used to be fine-tuned on other domains like license plate
or handwritten texts.
Limitations
This model is best suited for Persian alphabet and lacks the ability to recognize numbers and digits properly. We'll soon retrain this model to fit all scenarios.
Usage
pip install hezar
from hezar.models import Model
crnn = Model.load("hezarai/crnn-base-fa-v1")
texts = crnn.predict(["sample_image.jpg"])
print(texts)
Runs of hezarai crnn-base-fa-v1 on huggingface.co
77
Total runs
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24-hour runs
4
3-day runs
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7-day runs
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30-day runs
More Information About crnn-base-fa-v1 huggingface.co Model
crnn-base-fa-v1 huggingface.co
crnn-base-fa-v1 huggingface.co is an AI model on huggingface.co that provides crnn-base-fa-v1's model effect (), which can be used instantly with this hezarai crnn-base-fa-v1 model. huggingface.co supports a free trial of the crnn-base-fa-v1 model, and also provides paid use of the crnn-base-fa-v1. Support call crnn-base-fa-v1 model through api, including Node.js, Python, http.
crnn-base-fa-v1 huggingface.co is an online trial and call api platform, which integrates crnn-base-fa-v1's modeling effects, including api services, and provides a free online trial of crnn-base-fa-v1, you can try crnn-base-fa-v1 online for free by clicking the link below.
hezarai crnn-base-fa-v1 online free url in huggingface.co:
crnn-base-fa-v1 is an open source model from GitHub that offers a free installation service, and any user can find crnn-base-fa-v1 on GitHub to install. At the same time, huggingface.co provides the effect of crnn-base-fa-v1 install, users can directly use crnn-base-fa-v1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.