bubbliiiing/faster-rcnn-pytorch
A PyTorch implementation of Faster R-CNN two-stage object detection model supporting VOC dataset training.
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This repository provides a complete PyTorch implementation of Faster R-CNN, a two-stage object detector. It supports training on VOC format datasets using ResNet or VGG as backbone networks, with configurable learning rate schedules, optimizers (Adam/SGD), and batch-size-adaptive learning rates. The model achieves around 80.36% mAP@0.5 on VOC07+12 training data using ResNet backbone.
Frequently asked
- What is bubbliiiing/faster-rcnn-pytorch?
- A PyTorch implementation of Faster R-CNN two-stage object detection model supporting VOC dataset training.
- Is faster-rcnn-pytorch open source?
- Yes — bubbliiiing/faster-rcnn-pytorch is open source, released under the MIT license.
- What language is faster-rcnn-pytorch written in?
- bubbliiiing/faster-rcnn-pytorch is primarily written in Python.
- How popular is faster-rcnn-pytorch?
- bubbliiiing/faster-rcnn-pytorch has 1.8k stars on GitHub.
- Where can I find faster-rcnn-pytorch?
- bubbliiiing/faster-rcnn-pytorch is on GitHub at https://github.com/bubbliiiing/faster-rcnn-pytorch.