metadata

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/train.jsonl
      - split: test
        path: images/test/test.jsonl
      - split: validation
        path: images/val/val.jsonl
tags:
  - finance

Synthetic Credit Card Dataset

Overview

This repository contains a synthetic dataset of credit card images designed for training and validating machine learning models, specifically using the YOLOv8 object detection model. The dataset consists of 3000 items for training and 1000 items for validation and testing. Each image is 800x800 in JPG format and is accompanied by the necessary annotation files for YOLOv8 and Hugging Face.

Dataset Features

Total Items: 5000
- Training: 3000 items
- Validation: 1000 items
- Testing: 1000 items
Image Format: JPG
Image Size: 800x800 pixels
Annotations: Provided for YOLOv8 and Hugging Face in JSONL format

Annotations

YOLOv8

The annotation files for YOLOv8 are generated as per the YOLOv8 dataset requirements. Each image has a corresponding .txt file with the bounding box coordinates.

Hugging Face

The annotation files for Hugging Face are generated in JSONL format as per the Hugging Face image dataset documentation.

License

This dataset is licensed under the Apache License Version 2.0.

Contributions

We welcome contributions from the community. If you plan to use this dataset or modified versions in a product, research project, or any other initiative that adds value, please notify us. This helps us maintain a record of users and allows us to acknowledge your contributions on our website.

Contact

For any inquiries or further information, please contact us at [email protected].