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Yolov8s Test

Developed by iarbel
YOLOv8s is a lightweight object detection model based on Ultralytics' YOLOv8 architecture, suitable for real-time object detection tasks.
Downloads 24
Release Time : 1/3/2024

Model Overview

YOLOv8s is the small version in the YOLOv8 series, designed for efficient object detection and supports detection of 80 common object categories.

Model Features

Efficient detection
Capable of efficiently detecting multiple objects in real-time scenarios, suitable for embedded devices and edge computing.
Multi-class support
Supports detection of 80 common object categories, covering various scenarios in daily life.
Easy to use
Provides simple APIs and pre-trained models for quick integration and deployment.

Model Capabilities

Object detection
Real-time inference
Multi-class recognition

Use Cases

Security surveillance
Pedestrian detection
Used for pedestrian detection in surveillance scenarios to enhance the intelligence of security systems.
Autonomous driving
Traffic object recognition
Identifies vehicles, pedestrians, traffic signs, etc., on the road to assist decision-making in autonomous driving systems.
Retail analytics
Product recognition
Identifies products on shelves for inventory management and customer behavior analysis.
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