Object Detection on Aerial Imagery

Описание: Course : Deep Learning
Developer Name : Lokik Ganeriwal

Dataset Used: VisDrone 2019
Models Compared: Faster R-CNN, YOLOv5s, YOLOv8n
Frameworks Used: PyTorch, Torchvision, Ultralytics, OpenCV, Matplotlib

In this project, I evaluate and compare three state-of-the-art deep learning models for object detection in drone-captured aerial imagery. The goal is to determine which model performs best in terms of accuracy, inference speed, and real-time capability on the VisDrone 2019 dataset.