Open-source alternatives to Knossos

Data Preparation for Satellite Machine Learning

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

Label Studio is a multi-type data labeling tool and data annotation workspace designed to prepare datasets for machine learning training. It functions as a cloud-integrated data pipeline that imports raw data from storage, manages the annotation process, and exports labels into standardized formats. The platform features a machine learning model integration framework that connects to external model servers. This enables model-assisted annotation and active learning, allowing the system to perform pre-labeling and refine predictions based on human feedback. The software provides project manag

Leverage machine learning algorithms to easily segment, classify, track and count your cells or other experimental data. Most operations are interactive, even on large datasets: you just draw the labels and immediately see the result. No machine learning expertise required.

Label-Detect

Create rich adata annotations in jupyter notebooks.

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

A cross-platform desktop image annotation tool for machine learning

OpenLabeler is an open source desktop application for annotating objects for AI appplications

Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.

The open platform for image labeling Try it now » Explore docs · Report Bug · Request Feature · Join the Community

Curate, Annotate, and Manage Your Data in LightlyStudio.

A JavaFX desktop application for creating image-object-annotations with bounding boxes.

VoTT is a computer vision annotation software and machine learning dataset preparation tool. It is a desktop application designed for drawing bounding boxes and assigning tags to objects in images and videos to create training datasets for object detection models. The application utilizes a cross-platform desktop interface to manage image and video assets. It features a local-first storage integration to handle large media assets directly from the host machine's file system and includes frame-rate controlled video sampling to extract specific images from video streams for labeling. The softw

To speedup and simplify image labeling/ annotation process with multiple supported formats.

Viewers is a zero-footprint DICOMweb medical imaging viewer and a modular plugin framework. It serves as a diagnostic interface for rendering 2D and 3D medical images, providing a web-based clinical workflow engine to automate image layouts and toolsets. The project distinguishes itself through a highly extensible architecture that allows for the development of custom clinical workflows, specialized viewing modes, and the integration of external functional extensions. It includes a dedicated command line interface for managing these plugins and supports white-labeling through a comprehensive

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Computer vision based ML training data generation tool :rocket:

Pixano is a web-based smart-annotation tool for computer vision applications. The modules are driven by artificial intelligence, which assists the human user with annotation tasks and accelerate the annotation process. Try some of our features online!

Add image annotation functionality to any web page with a few lines of JavaScript.

Python](https://img.shields.io/lgtm/grade/python/g/scalabel/scalabel.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/scalabel/scalabel/context:python)

This package helps users draw bounding boxes around objects, without doing the clumsy math that you'd need to do for positioning the labels. It also has a few different types of visualizations you can use for labeling objects after identifying them.

Free to use online tool for labelling photos. https://makesense.ai