The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Google Brain AutoML

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

Object detection and instance segmentation toolkit based on PaddlePaddle.

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

(Pretrained weights provided) EfficientDet: Scalable and Efficient Object Detection implementation by Signatrix GmbH

A repository that shares tuning results of trained models generated by Tensorflow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. OpenVINO.

easy AutoML for Object Detection, Fast-Autoaugment + HyperBand + EfficientDet

Out-of-the-box code and models for CMU's object detection and tracking system for surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet.

Unofficial implementation of EfficientDet

mmdetection-based efficientdet

This project is a kind of implementation of EfficientDet(CVPR 2020) using mmdetection.

This is the tf2.0 version of efficientdet.

PyTorch Implementation of the state-of-the-art model for object detection EfficientDet [pretrained weights provided]

EfficientDet_PyTorch 目标检测(Object Detection)

🎨 🎨 EfficientDet训练水下目标检测数据集🎨🎨

Mxnet implementation of EfficientDet object detection

A PyTorch implementation of EfficientDet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

one-stage and two-stage detectors and segmentation-based detectors

Object Detection and Bounding Box Prediction using YOLO5 and EfficientDet , Image Augmentations and Test Time Augmentations

One-stage and two-stage face detection models

Google Brain AutoML

Real-time object detection using COCO-pretrained EfficientDet under Pytorch and TensorFlow

TF2 OD API