Popular GitHub Repositories for Labeling Tool

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

Label images and video for Computer Vision applications

Computer vision based ML training data generation tool :rocket:

A set of tools to use in Microsoft Azure Form Recognizer and OCR services.

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Automatic Summarization of Resumes with NER -> Evaluate resumes at a glance through Named Entity Recognition

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

A multi-purpose Video Labeling GUI in Python with integrated SOTA detector and tracker

Open source no-code system for text annotation and building of text classifiers

Labeling is boring. Use this tool to speed up your next object detection project!

A CNN based image segmentation tool oriented to marine data analysis

A collaborative tool for labeling image data for yolo

Data annotator for machine learning allows you to centrally create, manage and administer annotation projects for machine learning

Automatic tagging of clothing in E-Commerce, Using Tensorflow and GCP. Classify the clothing products into various categories using Machine Learning.

Production-ready YOLO8 Segmentation deployment with TensorRT and ONNX support for CPU/GPU, including AI model integration guidance for Unitlab Annotate.

labelit, label tool with active learning, for classification task. 自动标注，基于主动学习，边标注边学习，减少人工标注量。

MrD Deeplearning Trainer Tool

An easy to use C# open source image labeler for YOLO with AI auto label abilities.

An AI-aided image segmentation ML-Module for Heartexlab/Label-Studio. Easy to deploy. Great to use.

HuaHuoLabel is a multifunctional AI data label tool, which supports data label of five computer vision tasks, including single-category classification, multi-category classification, semantic segmentation, object detection and instance segmentation. It can also do image editing, dataset management, auto-labeling, and pseudo label generation.