1979 Open source projects that are alternatives of or similar to Label Studio

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

A collaborative tool for labeling image data for yolo

One-click image sorting/labelling script

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

Create 3D labelled bounding boxes in RViz

Open source annotation tool for machine learning practitioners.

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

A curated list of awesome data labeling tools

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

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

A Jupyter widget for annotating images with bounding boxes

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

Use this tool to label forms, bounding boxes, and assigning types to annotations

NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

A simple client wrapper for doccano API.

doccano auto labeling pipeline helps doccano to annotate a document automatically.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Etiketai is an online tool designed to label images, useful for training AI models

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

Trial on kaggle imagenet object localization by yolo v3 in google cloud

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.

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

Simplest and fastest image and text annotation tool.

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

Sandbox for training deep learning networks

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

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

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.

Question Answering annotation platform - Plateforme d'annotation

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

Python module for data scientists for quick creating annotation projects.

✔️ㅤ[ARTICLE] Writing your own Annotation Processors in Android

Project to set up basics of a Java annotation processor

Bounding Box Editor and Exporter

Official Advene repository

A list of Twitter datasets and related resources.

API spec validator and OpenAPI document generator for Python web frameworks.

OpenMMLab Image Classification Toolbox and Benchmark

Easily train or fine-tune SOTA computer vision models with one open source training library

🔥 One of the most comprehensive open-source data annotation platform.

The most powerful screen recorder & annotation tool for Chrome 🎥

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

Marking up images for use with Darknet.

A lightweight web-based annotation tool for labelling entity recognition data.

A tool for parking-slot labeling under surround-view image

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…

A collection of popular datasets for deep learning.

Serving TensorFlow models with TensorFlow Serving 📙

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

A list of popular deep learning models related to classification, segmentation and detection problems

Segmentation models with pretrained backbones. PyTorch.

An extension of Open3D to address 3D Machine Learning tasks

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

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

A collection of some datasets for segmentation / saliency detection. Welcome to PR...😄

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"