There are 2 repositories under image-labeling-tool topic.
A curated list of awesome data labeling tools
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
Web labeling tool for bitmap images and point clouds
Training Data for Machine Learning.
Make drawing and labeling bounding boxes easy as cake
Web application for image labeling and segmentation
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
Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
A cross-platform desktop image annotation tool for machine learning
A tool for parking-slot labeling under surround-view image
Zero Shot Image Classification but more, Supports Multilingual labelling and a variety of CNN based models for a vision backbone by using OpenAI CLIP for $ conscious uses (Super simple, so a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da
A react component that helps labeling images for object detection
A view for data-labeling(a tool for machine learning).
Open source annotation and labeling tool for image and video assets
Pixano App is a web-based smart-annotation tool for computer vision applications.
Label images with a mouse click, within a Jupyter Notebook
Cross-platform image labeling tool for AI
Matplotlib Image labeller for classifying images
An image auto-labeling and prediction software
Integrating Delphi and CVAT: Bandwidth-Efficient Interactive Labeling
Image labeling tool.
This repository contains custom codes written to address specific projects requiring the use of Computer Vision. For more information, visit:
A desktop graphical tool for labelling image training data for object detection and other machine learning uses. Bounding boxes can be saved in ImageNet Pascal VOC (XML), JSON and CSV formats. Scripts are provided to convert the output to TensorFlow TFRecords for use with the object detection API.
GCP vision API for labeling (local) images and writing as tags to metadata
Scripts used to create 3D annotations from 2D annotations of cells from fluorescence microscopy images.