open source

YOLOv5

Provided by: Framework: PyTorch

YOLOv5 is a high-performance, open-source object detection model created by Ultralytics. Built with PyTorch, it offers real-time image detection capabilities with high accuracy and speed. YOLOv5 supports training on custom datasets and is widely adopted in surveillance, robotics, and autonomous systems. The model is actively maintained with frequent updates and community support.

Model Performance Statistics

16

Views

June 9, 2020

Released

Jul 20, 2025

Last Checked

v7.0

Version

Capabilities
  • Object Detection
Performance Benchmarks
FPS140 FPS on Tesla V100
mAP50.7 COCO
Technical Specifications
Parameter Count
N/A
Training & Dataset

Dataset Used

COCO

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