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.
Frequently asked
- What is bubbliiiing/yolov8-pytorch?
- A PyTorch implementation of YOLOV8 object detection model with training, inference, and evaluation on the COCO dataset.
- Is yolov8-pytorch open source?
- Yes — bubbliiiing/yolov8-pytorch is open source, released under the GPL-3.0 license.
- What language is yolov8-pytorch written in?
- bubbliiiing/yolov8-pytorch is primarily written in Python.
- How popular is yolov8-pytorch?
- bubbliiiing/yolov8-pytorch has 1k stars on GitHub.
- Where can I find yolov8-pytorch?
- bubbliiiing/yolov8-pytorch is on GitHub at https://github.com/bubbliiiing/yolov8-pytorch.