GitHub

The PyTorch Implementation based on YOLOv4 of the paper: Complex-YOLO: Real-time 3D Object Detection on Point Clouds

For mayavi and shapely libraries, please refer to the installation instructions from their official websites.
GitHub

YOLOv4_Darknet_Installation_Training_Inferencing_Automation.ipynb

"* Install the Darknet YOLOv4 training environment\n", "* Download our custom dataset for YOLOv4 and set up directories\n", "* Configure a custom YOLOv4 training ...
Frontiers

YOLOv4-Lite–Based Urban Plantation Tree Detection and Positioning With High-Resolution Remote Sensing Imagery

Automatic tree identification and position using high-resolution remote sensing images are critical for ecological garden planning, management, and large-scale environmental quality detection. However ...
IEEE

YOLO-Waste: Utilizing YOLOv4 and YOLOv4-tiny for Waste Classification and Management

Abstract: Waste Management refers to a process that begins with the detection of various waste types and gradually manages waste from its conception through its disposal. Since it is extremely ...
IEEE

R-YOLOV4: Enhancing Unmanned Aerial Vehicle Target Detection Through Rotational Object Detection and Feature Alignment

Abstract: In response to the challenges of target detection from the perspective of unmanned aerial vehicles (UAVs), we propose the R-YOLOV4 Rotational Object Detection Algorithm. Specifically, ...