6535 Open source projects that are alternatives of or similar to Ssd Tensorflow

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Object Detection API Tensorflow

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）

YoloV3 Implemented in Tensorflow 2.0

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Train a state-of-the-art yolov3 object detector from scratch!

🟣 Object detection of abstract shapes with neural networks

FPGA-based neural network inference project with an end-to-end approach (from training to implementation to deployment)

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

YOLO object detector for Movidius Neural Compute Stick (NCS)

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

TensorFlow implementation of the YOLO (You Only Look Once)

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

PyTorch implementation of several SSD based object detection algorithms.

Self-hosted NVR with object detection

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

YOLO: You only look once real-time object detector

Object Detection API Tensorflow

YOLO Object detection with OpenCV and Python.

SSD目标检测算法(Single Shot MultiBox Detector)(简单,明了,易用,全中文注释,单机多卡训练,视频检测)( If you train the model on a single computer and mutil GPU, this program will be your best choice , easier to use and easier to understand )

A simplified implemention of Faster R-CNN that replicate performance from origin paper

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Rapid satellite imagery object detection

Face mask detection system using Deep learning.

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

Video Platform for Action Recognition and Object Detection in Pytorch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

Almost Real-time Object Detection using Apple's CoreML and YOLO v1 -

YOLO ModelCompression MultidatasetTraining

This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.

YOLO for object detection tasks

C# Yolo Darknet Wrapper (real-time object detection)

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

Deep learning codes and projects using Python

OpenMMLab Detection Toolbox and Benchmark

Self hosted alternative to Google Photos

🌮 Trash Annotations in Context Dataset Toolkit

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.

Siamese Mask R-CNN model for one-shot instance segmentation

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

High-performance multiple object tracking based on YOLO, Deep SORT, and optical flow

A PyTorch implementation of the YOLO v3 object detection algorithm

YOLOv3 implementation in TensorFlow 2.3.1

Image object detection demo(YOLO,SSD,etc.) running as a Flask web server.

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

Vehicle detection using YOLO in Keras runs at 21FPS

项目注释+论文复现+算法竞赛

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.

Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !

People detection and optional tracking with Tensorflow backend.