The motivations behind this research are for developing a bird-detecting system using images through Deep Learning, Image-based bird detection using DL has the potential to be more accurate than traditional methods, such as human observers or acoustic monitoring. DL can learn to identify subtle visual cues that are difficult for humans to detect, and they can analyze large amounts of data quickly and accurately. Automating bird detection using video and DL can be more efficient than traditional methods, which may require many hours of manual observation. With automated detection, researchers can analyze large amounts of data more quickly and easily.