xuannianz/EfficientDet
A Keras and TensorFlow implementation of the EfficientDet object detection model.
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This repository provides a complete implementation of EfficientDet for object detection, based on Google’s official AutoML implementation and keras-retinanet. It supports training on standard datasets like Pascal VOC and MS COCO, includes pretrained weights on ImageNet and COCO, and offers variants for oriented object detection and quadrangle detection. Users can train models using configurable phi parameters (0-6) for different model scales.
Frequently asked
- What is xuannianz/EfficientDet?
- A Keras and TensorFlow implementation of the EfficientDet object detection model.
- Is EfficientDet open source?
- Yes — xuannianz/EfficientDet is open source, released under the Apache-2.0 license.
- What language is EfficientDet written in?
- xuannianz/EfficientDet is primarily written in Python.
- How popular is EfficientDet?
- xuannianz/EfficientDet has 1.5k stars on GitHub.
- Where can I find EfficientDet?
- xuannianz/EfficientDet is on GitHub at https://github.com/xuannianz/EfficientDet.