829 Open source projects that are alternatives of or similar to Foveabox

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.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

🎨 🎨 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/

FCOS: Fully Convolutional One-Stage Object Detection.

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

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

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

Serve machine learning models using tensorflow serving

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

Face detection using deep learning.

Video Platform for Action Recognition and Object Detection in Pytorch

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

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

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

Computer vision based ML training data generation tool 🚀

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

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.

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

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❗❗

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

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

Deformable convolution net on Tensorflow

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

Perception toolkit for sim2real training and validation

Object detection on multiple datasets with an automatically learned unified label space.

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

Tensorflow Faster RCNN for Object Detection

ImageNet 2015 Object Detection from Video (VID)

Google Brain AutoML

[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

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

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

Two-stage CenterNet

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

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

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

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

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

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

✏️ Web-based image segmentation tool for object detection, localization, and keypoints

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

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

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

Mask RCNN in TensorFlow

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

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

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

Research platform for 3D object detection in PyTorch.

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

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

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

YOLOv2 and MobileNet_SSD detection algorithms used along with KCF object tracker

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

convert dataset to coco/voc format

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Video detection library

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

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

People detection and optional tracking with Tensorflow backend.