… detect objects of ten predefined categories (eg, pedestrian and car) in the VisDrone-DET2019
dataset. Specifically, there are 33 out 47 detection … of object detection algorithms on drone …

… of object detection model using drone photography. … It may be applied to object recognition
studies using drones that have … will help use drones to detect objects in various conditions. …

… Objects captured by UAVs and drones in city scenes usually come in various … detector,
called RRNet, for object detection in such challenging tasks. We mix up the anchorfree detectors …

… to largely boost the research and development in object detection in images on drone platforms.
… In the following, we discuss some critical issues in object detection on drone platforms. …

… .com/, which is helpful to further promote object detection research in drone-capture scenarios.
… 2) The motion blur of images caused by drone will make the object hard to distinguish. To …

… Single Shot Detectors tend to act on the entire image at once and detect … application of
various object detection models and fine-tuned them to get better results for small drones. From …

… object detection-based system which enables the detection and geo-referencing of different
traffic signs from RGB images captured by a drone’… the most accurate object detection model, …

… to detect objects with different sizes on the image better. SSD only needs an input image and
ground truth boxes for each object … We can therefore detect 20 objects in images (+1 for the …

… existing object detection systems and models can be used on image data from a drone.
One of the advantages of using a drone to detect objects in a scene may be that the drone can …

… drone-based object detection can be employed for generating better quality orthomosaics by
multiscale object detection, especially for the objects … for drone-based object detection can …