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Leyolo Medium
LeYOLO is an object detection model based on the YOLO architecture, offering multiple size versions (nano, small, medium, large) suitable for real-time object detection tasks.
Downloads 23
Release Time : 7/24/2024
Model Overview
LeYOLO is an improved object detection model based on the YOLO architecture, focusing on balancing detection accuracy and speed. The Medium version is suitable for object detection applications with moderate computational resources.
Model Features
Multiple Size Versions
Offers nano, small, medium, and large sizes to accommodate different computational resource needs.
Efficient Detection
Optimized based on the YOLO architecture to balance detection accuracy and speed.
HuggingFace Integration
Can be directly loaded and used via the HuggingFace model hub.
Model Capabilities
Real-time Object Detection
Multi-category Object Recognition
Image Analysis
Use Cases
Computer Vision
Security Surveillance
Real-time detection of targets such as people and vehicles in surveillance footage.
Autonomous Driving
Detection of pedestrians, vehicles, and traffic signs on the road.
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