toandaominh1997/EfficientDet.Pytorch
A PyTorch implementation of EfficientDet, a scalable object detection model from Google Research.
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This repository provides a PyTorch implementation of the EfficientDet architecture from the 2019 paper by Google Research. EfficientDet is a family of scalable and efficient object detection models using weighted bi-directional feature pyramid networks and compound scaling. The implementation supports EfficientDet-D0 through D7 variants, training on PASCAL VOC and COCO datasets, with features including Focal Loss, ROI Align, and multi-scale training.
Frequently asked
- What is toandaominh1997/EfficientDet.Pytorch?
- A PyTorch implementation of EfficientDet, a scalable object detection model from Google Research.
- Is EfficientDet.Pytorch open source?
- Yes — toandaominh1997/EfficientDet.Pytorch is open source, released under the MIT license.
- What language is EfficientDet.Pytorch written in?
- toandaominh1997/EfficientDet.Pytorch is primarily written in Python.
- How popular is EfficientDet.Pytorch?
- toandaominh1997/EfficientDet.Pytorch has 1.4k stars on GitHub.
- Where can I find EfficientDet.Pytorch?
- toandaominh1997/EfficientDet.Pytorch is on GitHub at https://github.com/toandaominh1997/EfficientDet.Pytorch.