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