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This repository hosts a finetuned Ultralytics YOLOv8s model specifically designed for **barcode and QR code classification and detection**. Building upon the robust and efficient architecture of YOLOv8, this model has been fine-tuned on a comprehensive dataset of over 5,000 images, encompassing various barcode types (EAN13, Code128, etc.) and QR codes. YOLOv8 is renowned for its speed, accuracy, and ease of use, making it an excellent foundation for specialized object detection tasks like barcode and QR code recognition. This finetuned model aims to provide a reliable and performant solution for applications requiring automated barcode and QR code scanning and identification. We hope this model proves useful for your projects! For general YOLOv8 documentation, please refer to the Ultralytics Docs . For specific questions or discussions related to this finetuned model, please raise an issue on its Hugging Face model page.

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