In our Ecosystem, wildlife is a very important to maintain our nature. So protection
and conservation of wildlife is our responsibility, those which are at risk of being
extinct. One such species Amur tiger is in danger zone. Therefore, we have
implemented three object detection methods using different deep learning
technique for detecting Amur tiger which can further be deployed in UAVs. Using
the recently released ATWR (Amur Tiger Re-identification in the wild) dataset by
Computer Vision for Wildlife Conservation that contain 2485 images along with their
annotations for training and 277 images along with their annotations for validation.
By using our model tiger can be tracked and detected easily.