visdrone-dataset

VisDrone aerial object detection toolkit with 33 models (Torchvision + YOLO), training, evaluation, video inference, benchmarking, and annotation conversion.

Many yolov8 model are trained on the VisDrone dataset.

基于渐进式学习的轻量级无人机目标检测

Standardized evaluation of modern object detectors beyond COCO.

A multi-threaded UAV Ground Control Station built with Python, PyQt5, and YOLOv8 for real-time object detection and telemetry monitoring.

Object detection format converter from VisDrone2019-DET to Yolo.

Lamaah: A YOLO-Based Model for Multi-Scale Object Detection in UAV Systems

object detection using YOLO11x on VisDrone dataset

Attention-guided object detection on VisDrone using Grad-CAM++ and YOLO, with metrics and visual outputs.

FOLT-inspired motion-aware multi-object tracking for UAV video using YOLOX and FastFlowNet.

An end-to-end edge computer vision pipeline running real-time YOLOv8 aerial object detection on aerial drone footage optimized on CoreML & Neural Engine. Includes multi-runtime benchmarking, CLI inference, and automated testing.