Top 60 coco open source projects

JumpServer 是全球首款开源的堡垒机，是符合 4A 的专业运维安全审计系统。

The official homepage of the (outdated) COCO-Stuff 10K dataset.

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

person detect based on yolov3 with several Python scripts

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

Image Captions Generation with Spatial and Channel-wise Attention

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.

Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core

This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

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

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.

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Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

CC游戏案例之 组队吃鸡

FCOS: Fully Convolutional One-Stage Object Detection.

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

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.

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Detect humans in an image and estimate the pose for each person

Serve machine learning models using tensorflow serving

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

To speedup and simplify image labeling/ annotation process with multiple supported formats.

Object Detection

OpenMMLab Pose Estimation Toolbox and Benchmark.

convert dataset to coco/voc format

Visual Question Answering in Pytorch

Two-stage CenterNet

Helper functions to create COCO datasets

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

Computer vision based ML training data generation tool 🚀

仿coco点餐系统的微信小程序

Tensorflow Faster RCNN for Object Detection

FoveaBox: Beyond Anchor-based Object Detector

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

Mask RCNN in TensorFlow

various cv tools, such as label tools, data augmentation, label conversion, etc.

IceData: Datasets Hub for the *IceVision* Framework

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

Focal Loss for Dense Object Detection.

Cascade R-CNN: Delving into High Quality Object Detection.

CC游戏案例之 斗兽棋

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Evaluation code for using probabilistic detection quality (PDQ) measure for probabilistic object detection tasks. Currently supports COCO and robotic vision challenge (RVC) data.

(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

Convert JSON annotations into YOLO format.

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Tool to evaluate deep-learning detection and segmentation models, and to create datasets

Simple COCO Viewer in Tkinter

C development system for (Nitr)OS9/6x09, with source

CC游戏案例之 激流竞速

A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.

一些数据集处理相关的 API

A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

FCOS: Fully Convolutional One-Stage Object Detection.

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

Extended COCO-API

The Official PyTorch Implementation of DiscoBox.

Yolo to COCO annotation format converter