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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].
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