This repository provides a complete implementation of YOLOv3 in TensorFlow, including model architecture, training pipeline, and evaluation tools. It supports training on custom datasets via an efficient tf.data pipeline, converts pretrained Darknet weights to TensorFlow checkpoints, and includes GPU-accelerated non-maximum suppression for fast inference. The project also provides a K-means algorithm for selecting prior anchor boxes.