Drones are used widely in various fields such as security monitoring, traffic control, party photos etc. There are numerous objects present in every image captured by a drone. The detection of objects present in an image captured by a drone can solve real-world problems.
Drones are used widely in various fields such as security monitoring, traffic control, party photos etc. There are numerous objects present in every image captured by a drone. The detection of objects present in an image captured by a drone can solve real-world problems. It could be effeciently used for the surveillance in the army for detecting small objects at a distance like drones and birds.
We use the ensemble learning approach to combine the power and effeciency of the three models to get better accuracy and reduce the training time.
Dataset Link: https://www.kaggle.com/datasets/muki2003/yolo-drone-detection-dataset