Bear Detection

Algorithm Introduction:

Detect bears in surveillance footage and return their coordinates.


Algorithm Applications: 

Outdoor surveillance, wildlife protection, ecological research, etc.

Algorithm Advantages:


·Comprehensive Scene Coverage: The model is trained on a rich dataset that covers various natural environments and weather conditions, including forests, mountains, grasslands, etc.


·Strong Detection Stability: By combining advanced tracking algorithms, it maintains accuracy and smoothness in detecting bears in complex natural environments, enhancing the stability of the surveillance system.


·High Detection Accuracy: Accurately distinguishes bears from other animals and precisely detects black bears of different sizes and postures.


·Long Detection Range: The algorithm can detect bears from a long distance, making it suitable for large-scale outdoor surveillance.


 

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