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Yolov8n Plane Detection
Aircraft object detection model based on YOLOv8n, optimized specifically for aircraft detection tasks.
Downloads 214
Release Time : 1/29/2023
Model Overview
This model utilizes the YOLOv8n architecture and is optimized for aircraft detection tasks, enabling efficient and accurate identification of aircraft targets in images.
Model Features
High-precision detection
Achieves 0.995 mAP@0.5 accuracy on the aircraft detection validation set.
Lightweight architecture
Based on the YOLOv8n architecture, balancing detection accuracy and inference speed.
Single-category detection
Focuses specifically on the detection of aircraft as a single category.
Model Capabilities
Aircraft detection in images
Object localization
Bounding box prediction
Use Cases
Aviation monitoring
Airport aircraft monitoring
Used for detecting and counting aircraft on airport runways and aprons.
High-precision identification of various aircraft types
Satellite image analysis
Satellite image aircraft detection
Detects and locates aircraft targets in satellite images.
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