Tree detection from satellite image using deep learning for the final project of our school ... Roboflow and YOLOv5 Object Detection Model were used during Object detection. Methods. Obtaining ...

One of the most effective ways to test and debug your image object detection algorithms and systems is to visualize your results and errors. You can use tools like Matplotlib, OpenCV, or PIL to ...

Urban Tree Canopy (UTC) is the layer of leaves, branches and stems of trees that cover the ground when viewed from above. Remotely sensed data have played an important role in detecting urban ...

The test set images were used to analyze and evaluate the results of diseased tree recognition. ... The application of the YOLO v4 algorithm in the field of diseased tree object detection was studied, ...

Image-free sensing methods based on single-pixel detectors can cut down on the computational power needed for object detection. Instead of employing a pixelated detector such as a CMOS or CCD ...

In contrast, Zheng and Wu (2022) employed Google Earth (GE) images with a resolution of 0.27 m across 600 images, utilizing the YOLOv4-Lite model for tree detection. In the paper by dos Santos et al. ...