Comprehensive toolkit for training YOLO models on UAV/drone datasets and optimizing them with TensorRT. Features automated dataset preparation, YOLOv11 training, multi-precision TensorRT conversion (FP32/FP16/INT8), and performance benchmarking with visualization tools.

YOLO detection toolkit with TensorRT optimization. Includes UAV-specific training pipeline with dataset preparation and YOLOv11 fine-tuning, plus real-time video detection system for general object detection. Supports multiple precision modes (FP32/FP16/INT8).