Geospatial vehicle detection
Computer Vision, Object Detection, 2024
This project involves training a pretrained RetinaNet model on the NWPU-VHR-10 dataset, which contains high-resolution aerial images for object detection tasks.
The project demonstrates the application of RetinaNet for detecting objects in aerial images, showcasing its effectiveness in handling imbalanced datasets. The code and images can be accessed in this GitHub repository.
Link to the gihub repository:
