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--- |
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license: apache-2.0 |
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task_categories: |
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- object-detection |
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pretty_name: Credit Card V0.3 Dataset |
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size_categories: |
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- 1K<n<10K |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: /images/train/metadata.jsonl |
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- split: test |
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path: /images/test/metadata.jsonl |
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- split: validation |
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path: /images/val/metadata.jsonl |
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tags: |
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- finance |
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--- |
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Our V0.3 model is trained using synthetic data generated with Blender, Python, and other open-source tools. It |
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accurately detects traditional credit card designs in images, identifying the front and back faces, text lines, chip, |
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and magnetic band. |
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The model, along with the dataset and tools used to create it, are freely available for download under the Apache |
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License Version 2.0. You are welcome to modify and distribute these components as needed. We encourage you to contribute |
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back any meaningful and useful changes. |
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We kindly request that you notify us if you plan to use these components or modified versions in a product, research |
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project, or any other initiative that generates value. This helps us maintain a record of users and acknowledge their |
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contributions on our website. |
