786 Open source projects that are alternatives of or similar to Awesome Object Detection

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

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

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

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🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

YOLOv2 and MobileNet_SSD detection algorithms used along with KCF object tracker

Real-time object detection on Android using the YOLO network with TensorFlow

Google Brain AutoML

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

Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗

A novel region proposal network for more general object detection ( including scene text detection ).

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An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

Free to use online tool for labelling photos. https://makesense.ai

Deformable convolution net on Tensorflow

Face detection using deep learning.

Perception toolkit for sim2real training and validation

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ImageNet 2015 Object Detection from Video (VID)

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

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

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Research platform for 3D object detection in PyTorch.

Video detection library

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

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

FoveaBox: Beyond Anchor-based Object Detector

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Convert any classification model or architecture trained in keras to an object detection model

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

SynthDet - An end-to-end object detection pipeline using synthetic data

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

In-Browser Object Detection using Tiny YOLO on Tensorflow.js

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

A tool that allows you to create vulnerable instrumented local or cloud environments to simulate attacks against and collect the data into Splunk

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Real-time Anchor-Free Instance Segmentation, in CVPR 2020

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).

This is a new web-based photo management application. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, location awareness, color analysis and other ML algorithms.

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

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Tools to rapidly deploy a threat hunting capability on Azure Sentinel that leverages Sysmon and MITRE ATT&CK

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)

Keras implementation of yolo v3 object detection.

🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.