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Yolos Small
YOLOS-small is a small object detection model based on the Transformer architecture, designed for efficient visual tasks.
Downloads 63
Release Time : 8/26/2023
Model Overview
YOLOS-small is a lightweight object detection model that adopts the Transformer architecture, suitable for real-time object detection tasks.
Model Features
Lightweight and Efficient
The model has a small size, making it suitable for resource-constrained environments while maintaining high detection accuracy.
Transformer-based
Adopts the Transformer architecture, enabling better capture of global contextual information in images.
Real-time Detection
Suitable for real-time object detection applications with fast response times.
Model Capabilities
Object Detection
Real-time Image Analysis
Use Cases
Smart Surveillance
Real-time Monitoring
Used for real-time object detection in video streams.
Efficiently identifies objects in surveillance footage
Autonomous Driving
Road Object Detection
Detects vehicles, pedestrians, and other objects on the road.
Enhances environmental perception for autonomous driving systems
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