Drone_Detections_Assignment

Output Video 1: https://youtu.be/cWDXapOfiyk Output Video 2: https://youtu.be/7rsJmHuLuKk I used one of RoboFlow's given drone datasets with YOLOv8 detector. The dataset I chose had 7000 images with drones and its bounding box as well as other objects so the detector can differentiate them from drones. Training was done with 20 epochs, 640 imgs, 16 batches, and 64 workers. Kalfar Filter was designed using the filterpy library with state vector x = [ cx, cy, vx, vy] and measurement vector z =… See the full description on the dataset page: https://huggingface.co/datasets/PatWantsToLearn/Drone_Detections_Assignment.