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Leyolo Nano
LeYOLO is an object detection model based on the YOLO architecture, offering four scales: nano, small, medium, and large
Downloads 15
Release Time : 7/24/2024
Model Overview
LeYOLO is an object detection model implemented in PyTorch, focusing on efficient real-time object detection tasks, supporting multiple scales to accommodate different computational needs
Model Features
Multi-scale Support
Offers four scales: nano, small, medium, and large, to accommodate different computational needs
Efficient Detection
Optimized based on the YOLO architecture for efficient real-time object detection
HuggingFace Integration
Model weights can be directly loaded via HuggingFace
Model Capabilities
Object Detection
Real-time Detection
Multi-scale Object Recognition
Use Cases
Computer Vision
Real-time Surveillance
Used for real-time object detection in video surveillance systems
Autonomous Driving
Vehicle and pedestrian detection
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