İnsansız Hava Aracı (İHA) Görüntülerindeki Yayaların Faster R-CNN Algoritması ile Otomatik Tespiti

Drone or Unmanned Aerial Vehicles (UAVs) are now actively used by many different sectors. In particular, the drone who have gained popularity in recent years; From advertising to cargo transportation, various tasks can be undertaken. Detection of objects in unmanned aerial images is often done by the operator using the vehicle. In this study, the Faster R-CNN algorithm, which is used frequently in the object detection application literature, was modified to automate this situation and was used for automatic detection of bounces in images taken by unmanned aerial photographs.