vietnh1009/Yolo-v2-pytorch
A PyTorch reimplementation of the YOLOv2 object detection model from the YOLO9000 paper.
Not currently ranked — collecting fresh signals.
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This repository provides a complete PyTorch implementation of the YOLOv2 (You Only Look Once) object detection architecture. It supports training models from scratch or fine-tuning pretrained weights on standard benchmarks including VOC2007, VOC2012, COCO2014, and COCO2017 datasets. The implementation includes data loading pipelines, training loops, and evaluation scripts for single-stage detector inference.
Frequently asked
- What is vietnh1009/Yolo-v2-pytorch?
- A PyTorch reimplementation of the YOLOv2 object detection model from the YOLO9000 paper.
- Is Yolo-v2-pytorch open source?
- Yes — vietnh1009/Yolo-v2-pytorch is open source, released under the MIT license.
- What language is Yolo-v2-pytorch written in?
- vietnh1009/Yolo-v2-pytorch is primarily written in Python.
- How popular is Yolo-v2-pytorch?
- vietnh1009/Yolo-v2-pytorch has 430 stars on GitHub.
- Where can I find Yolo-v2-pytorch?
- vietnh1009/Yolo-v2-pytorch is on GitHub at https://github.com/vietnh1009/Yolo-v2-pytorch.