Label images with a mouse click, within a Jupyter Notebook

🥇 A versatile image labelling toolchain for deep learning.

Semi-automatic detection, tracking and labelling of active targets for autonomous driving.

A customizable web-based image-labelling platform.

2D Bounding Boxes annotation are usually used to perception for AI based model development. This Project will help you lean from the scratch.

Fast binary image labeler for ML and AI projects

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.

simple and easy image segmentation labelling tool for Windows

Backdrop is an all in one wallpaper gallery that allows you to upload, share, explore and label(Firebase ML) using image labeling.

With LabelThem you can quickly get a markup, with classes and parameters of objects you are interested in, by providing images, lists of classes and parameters of objects, and, if you don't have the resources to label images by yourself, a short description of which types of objects you are interested in, and money to reward Mechanical Turks.