Popular GitHub Repositories for Efficientdet

Google Brain AutoML

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam

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

Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

AIAssistC是一个AI游戏助手，使用OpenCv、DNN、ssd_mobilenet/efficientdet、MFC等技术，截取游戏屏幕进行对象识别，使用虚拟鼠标键盘hook实现自动瞄准/自动开枪等功能，提升玩家的游戏体验。

The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-v2 .

物体検出を用いてNARUTOの印(子～亥、壬、合掌)を検出するモデルとサンプルプログラムです。このリポジトリでは、YOLOXを使用しています(This is a model and sample program that detects NARUTO's hand sign using object detection. This repository use YOLOX.)

AIAssistC是一个AI游戏助手，使用OpenCv、DNN、Tensorflow、ssd_mobilenet/efficientdet、hidriver、MFC等技术，截取游戏屏幕进行对象识别，使用虚拟鼠标键盘驱动实现自动瞄准/自动开枪等功能，提升玩家的游戏体验。

AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)

QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.

Tracking-by-Detection形式のMOT(Multi Object Tracking)について、 DetectionとTrackingの処理を分離して寄せ集めたフレームワーク(Tracking-by-Detection method MOT(Multi Object Tracking) is a framework that separates the processing of Detection and Tracking.)

A Detection Toolbox for Tensorflow2

Tensorflow2 Object Detection APIのハンズオン用資料です(Hands-on documentation for the Tensorflow2 Object Detection API)

TensorFlow Lite Model Makerで物体検出を行うハンズオン用資料です(Hands-on for object detection with TensorFlow Lite Model Maker)

EfficientDet with Intel OpenVINO

Pipeline for training efficientdet on COCO2017, implemented in PyTorch Lightning

Logo Detection of a custom small dataset. The dataset contains logos of 6 famous brands: Nike, Jordans, Adidas, Puma, Kappa, Quicksilver. The model was developed using the Object-Detection-API by Tensorflow

PyTorch EfficientDet Solution for Global Wheat Detection Challenge

TensorFlow Object Detection APIのONNX推論サンプル