LFD is a multi-class object detection system that succeeds the LFFD face detector. It implements a one-stage anchor-free detection architecture optimized for low latency inference on edge devices. The project supports TensorRT and INT8 quantization for inference acceleration, is trained using PyTorch, and includes utilities for timing and performance benchmarking. The detector targets real-world industrial applications where model size and inference speed are critical constraints.