Google Brain AutoML

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

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

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

🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎

(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、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)

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.)

An experimental repository to build ML models and perform efficient wildfire smoke detection.

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

A one-stop repository for low-code easily-installable object detection pipelines.

A Detection Toolbox for Tensorflow2

mmdetection-based efficientdet

Unofficial implementation of EfficientDet

🎨 🎨 EfficientDet训练水下目标检测数据集🎨🎨

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.)

Python code for analysing object detection metrics