I used the dataset "Drone Computer Vision Model" from roboflow
https://universe.roboflow.com/project-986i8/drone-uskpc
I felt this model had the best attributes to complete the assignment, it was trained on a variety of pictures and all
the metrics like Recall Map and percision seemed very accurate.
For my detector i used Yolov8n which after doing some research seemed to be the best fit for tracking smaller object.
it also good for faster inference. I fined tuned the model using 20 epochs… See the full description on the dataset page:
https://huggingface.co/datasets/DylanC7/CS370-HW3.
