1060 Open source projects that are alternatives of or similar to Labelme

Powerful and efficient Computer Vision Annotation Tool (CVAT)

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

PyTorch implementation of "Pyramid Scene Parsing Network".

🔥Deep Learning for 3D Point Clouds (IEEE TPAMI, 2020)

📚 A collection of papers about Referring Image Segmentation.

Crop/Weed Field Image Dataset

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Sandbox for training deep learning networks

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

A Jupyter widget for annotating images with bounding boxes

A list of tools for annotating data, managing annotations, etc.

A curated list of awesome data labeling tools

The official homepage of the (outdated) COCO-Stuff 10K dataset.

An open source framework for deep learning on satellite and aerial imagery.

Collection of computer vision models, ready to be included in a JVM project

Paper notes in deep learning/machine learning and computer vision

Video and Image Analytics for Multiple Environments

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

Cut and paste augmentation for object detection and instance segmentation

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

A simple video annotation made with python + OpenCV for detection in YoloV2 format

A curated list of resources focused on Machine Learning in Geospatial Data Science.

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

Annotate Images (or goats) On The Web™

A flexible Python front-end inference SDK based on TensorRT

High-level batteries-included neural network training library for Pytorch

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

FrostNet: Towards Quantization-Aware Network Architecture Search

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Tensorflow implementation : U-net and FCN with global convolution

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

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

Video analytics web platform

Annotate Images (or goats) On The Web™

Cell Detection with PyTorch.

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

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

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.

Inference Code for Polygon-RNN++ (CVPR 2018)

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

https://www.kaggle.com/c/humpback-whale-identification

DeepLab resnet v2 model in pytorch

A collection of decorators for React Components

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

💡 dokieli is a clientside editor for decentralised article publishing, annotations and social interactions

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)