This project focused on:
Automating bird detection in images and video: Identify the presence of birds in various visual formats with high accuracy.
Potential applications: Provide a foundation for further development like species classification, population monitoring, or automated bird feeder activation.
Model Training: Trained the YOLOv8 model on the prepared dataset, achieving an accuracy of 89% in bird detection.
YOLOv8: Deep learning model for object detection.