Computer Vision to Help Nature
In this project, we will use Yolo v5 (YOLO: Real-Time Object Detection) to detect and classify various objects. The goal is to identify areas of nature that would benefit from AI and automatic detection/classification - for example, plastic detection in images in the ocean, whale detection to calculate the number of whales in specific seas, other animals, etc.
Steps: 1.find/create a dataset of images 2.annotate using Roboflow 3.train and test using the Yolo algorithm 4.optimize/apply additional methods 5.write a report
Collaborators:
Amanda Kuiack - A01232597
Gokce Gokmen - A01258386
Steven Chang - A01265652