Piero2411/YOLOV8s-Barcode-Detection
object-detection model by Piero2411
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Model card & documentation
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YOLOV8s Barcode/QR Code Detection Model Special thanks to Armaggheddon97 and his 4090 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.…
Read the full model card ↗ · Preview checked 2026-10-28T05:12:52.357Z
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- Dataset
- Training Parameters
- Performance and Results
- Key Metrics from Training (Last Epoch)
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- Example Prediction Batches
- License
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Model overview
Piero2411/YOLOV8s-Barcode-Detection is a object-detection model repository published by Piero2411 on Hugging Face. The source reports the ultralytics library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- object-detection
- Library
- ultralytics
- Recent downloads (30 days)
- 10,359
- Cumulative likes
- 10
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- agpl-3.0
- Access
- Not gated by Hugging Face
- Created
- 2025-07-29T15:44:05.000Z
- Last modified
- 2025-09-01T01:04:16.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Ultralytics/YOLOv8
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:34.007Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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