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Yolov5l Leaf Disease
An object detection model based on YOLOv5l, specifically designed for detecting leaf diseases.
Downloads 13
Release Time : 5/29/2023
Model Overview
This model is based on the YOLOv5l architecture and focuses on the task of leaf disease detection, suitable for disease identification and monitoring in the agricultural sector.
Model Features
Efficient Object Detection
Based on the YOLOv5l architecture, it can efficiently and accurately detect leaf diseases.
Agricultural Application
Designed specifically for leaf disease detection in the agricultural sector, suitable for real-world farming environments.
Model Capabilities
Object Detection
Leaf Disease Identification
Use Cases
Agriculture
Leaf Disease Monitoring
Used to monitor diseases on crop leaves, helping farmers detect and address diseases promptly.
Improves disease identification efficiency and reduces crop losses.
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