Automatic Fish Detection and Tracking in Underwater Videos 09/2017 - 08/2018 Advisor: Dr. Jung-Hua Wang · Re-trained the Faster-RCNN-Inception-V2-COCO model from Google's TensorFlow Object Detection API and employed OpenCV with Python to detect and track fish in complex, changeable underwater environments from recorded video clips · Collected and labeled fish pictures manually to create a custom training dataset · Calculated the FPS to evaluate the model performance ˙ https://yijing-sie.github.io/#project