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--- |
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license: mit |
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datasets: |
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- felipebandeira/driverlicenses2k |
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language: |
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- en |
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metrics: |
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- accuracy |
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pipeline_tag: image-to-text |
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--- |
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This model extracts information from EU driver's licenses and returns it as JSON. For optimal performance, we recommend that input images: |
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- have a size of 1192x772 |
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- have high resolution and do not contain light reflection effects |
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Accuracy |
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- on validation set: 98% |
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- on set of real licenses: 63.93% |
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Article describing model: |
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https://medium.com/@ofelipebandeira/transformers-vs-ocr-who-can-read-better-192e6b044dd3 |
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Article describing synthetic dataset used in training: |
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https://python.plainenglish.io/how-to-create-synthetic-datasets-of-document-images-5f140dee5e40 |
