Wildlife Location and Classification

Wildlife Location and Classification Through YOLO and CNNs

Presenter: James Rodriguez

Presenter Status: Undergraduate student

Department: Computer Science

Screenshot URL: https://drive.google.com/uc?id=1H2UYqQno-yS_cJwsk2d-E1louL4sniCq

Abstract:
Using the training tool YOLO along with transfer learning, this research project is aimed toward using images of wildlife from SSUPreserve and locating them, bounding them, and classifying the. Using ground truth and predictions, attempting to optimize accuracy of predications based on obtained weights and increased data pool.