bubbliiiing/yolov8-pytorch
A PyTorch implementation of YOLOV8 object detection model with training, inference, and evaluation on the COCO dataset.

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This repository provides a complete PyTorch implementation of YOLOV8 (You Only Look Once), a real-time object detection model. It includes model architecture definitions, training scripts supporting multiple optimizers (Adam, SGD), learning rate schedulers (step, cosine), multi-GPU training, and evaluation on COCO with mAP metrics. Users can train custom object detection models on their own datasets.