Detection, classification and localization of military and civilian vehicles, which include: 'Military Truck', 'Military Tank', 'Military Aircraft', 'Military Helicopter', 'Civilian Car' and 'Civilian Aircraft' from this data. The dataset is created and processed using Roboflow. For detection, a YOLOv5 model is trained and then the solution is evaluated using Precision, Recall, F-score and mAP (mean Average Precision). This guide was followed to help us understand how custom object detection with YOLOv5 works.
To run the project or/and see our results, simply open it in google colab by the given link.