State-of-the-Art Detection

This is a custom-trained YOLOv8 (You Only Look Once) model designed for high-speed tracking and detection of animals. Unlike standard classifiers, this model provides bounding boxes and confidence scores in real-time.

Dataset Diversity

Trained on 80 distinct animal classes including mammals, birds, and insects. The dataset was sourced from Kaggle and manually verified for bounding box accuracy.

Performance Highlights

• Real-time Inference: 60+ FPS on compatible hardware.
• Format: Available in .pt (PyTorch) and .onnx formats.
• Versatile: Works on both static images and live video streams.

Applications

Wildlife monitoring, Livestock management, and Automated nature photography.