This is a computer vision model based on the YOLOv8s architecture, specifically designed for barcode and QR code detection. The model has been fine-tuned on a comprehensive dataset containing more than 5000 images, supporting accurate detection and classification of multiple barcode types (such as EAN13, Code128, etc.) and QR codes.

A fast race classification model based on YOLOv8/YOLO11 architecture, trained on the FairFace dataset for facial race classification tasks.

Computer VisionPytorch

A license plate detection model fine-tuned based on the YOLOv8 framework, suitable for autonomous driving and traffic monitoring scenarios

A YOLOv8s fine-tuned model specialized for locating signatures in document images

Computer VisionTensorboard

YOLOv8 is an efficient object detection model developed by Ultralytics, based on the YOLO (You Only Look Once) architecture, suitable for real-time object detection tasks.

Computer VisionTransformersEnglish

Anime face detection model based on YOLOv8, excelling in anime face detection tasks

YOLOv8-based object detection model for automatic coffee berry counting and maturity classification

Computer VisionPytorch

YOLOv8 model converted to CoreML format, capable of running on Apple Neural Engine

Computer VisionCoreml

An object detection model based on YOLOv8 and YOLOv9, specifically designed for player detection in Counter-Strike 2.

Computer VisionPytorch

An object detection model based on YOLOv8, specifically designed for detecting handwritten text content

A series of object detection and segmentation models trained based on the YOLOv8 and YOLOv11 architectures, focusing on artistic image processing

Computer VisionPytorchOther

YOLOv8 is the latest generation object detection model developed by Ultralytics, building on the success of previous YOLO versions with new features and improvements to further enhance performance and flexibility.

A YOLOv8-based object detection model specifically designed to detect various items such as bombs, boxes, cans, filters, and bags.

Computer VisionTensorboard

A YOLOv8-based object detection model specialized in extracting structured information from documents such as invoices and receipts.

Computer VisionPytorch

YOLOv8s is a lightweight object detection model based on Ultralytics' YOLOv8 architecture, suitable for real-time object detection tasks.

Computer VisionPytorch

An object detection model based on YOLOv8, specifically designed for detecting fire and smoke scenarios.

Computer VisionPytorch

YOLOv8s model optimized using the ENOT-AutoDL framework, specifically designed for object detection tasks on the VisDrone dataset.

Computer VisionTensorboard

YOLOv8 model specialized for detecting humans in thermal imaging, applicable to pseudo-color and grayscale thermal images

Computer VisionTensorboard

An object detection model based on YOLOv8m, specifically designed for smoke detection with high accuracy.

Computer VisionTensorboard

YOLOv8 model for detecting key text in Aadhaar cards

Computer VisionPytorch