Object Detection
ultralytics
YOLOv10
tracking
instance-segmentation
image-classification
pose-estimation
obb
yolo
yolov8
yolov3
yolov5
yolov9
barcode
qrcode
package
deliveries
Instructions to use Piero2411/YOLOV8s-Barcode-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Piero2411/YOLOV8s-Barcode-Detection with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("Piero2411/YOLOV8s-Barcode-Detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - YOLOv10
How to use Piero2411/YOLOV8s-Barcode-Detection with YOLOv10:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("Piero2411/YOLOV8s-Barcode-Detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
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<h1 align="center">YOLOV8s Barcode/QR Code Detection Model</h1>
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<div align="center">Special thanks to <a href="https://huggingface.co/armaggheddon97">Armaggheddon97</a> and his <strong align="center">4090</strong></div>
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This repository hosts a finetuned [Ultralytics](https://www.ultralytics.com/) [YOLOv8s](https://github.com/ultralytics/ultralytics) 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.
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<h1 align="center">YOLOV8s Barcode/QR Code Detection Model</h1>
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<div align="center">Special thanks to <a href="https://huggingface.co/armaggheddon97">Armaggheddon97</a> and his <strong align="center">4090</strong></div>
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This repository hosts a finetuned [Ultralytics](https://www.ultralytics.com/) [YOLOv8s](https://github.com/ultralytics/ultralytics) 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.
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