Open-source alternatives to Label Maker

TorchGeo is a PyTorch library designed for deep learning on geospatial data, providing a framework for building and training neural networks for tasks such as semantic segmentation, object detection, and change detection. It serves as a comprehensive pipeline for remote sensing, featuring specialized dataset loaders and multispectral image preprocessing tools. The library is distinguished by a dedicated remote sensing model zoo and extensive support for transfer learning, allowing users to integrate pre-trained weights optimized for specific satellite sensors. It also includes support for sel

Images to inference with no labeling (use foundation models to train supervised models).

Pythonic Framework for AI Inference on Geospatial Data

You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

An open source online platform for collaborative image labeling

Collaborative Annotation Toolkit for Massive Amounts of Image Data

A lightweight tool for labeling 3D bounding boxes in point clouds.

CosmiQ Works Geospatial Machine Learning Analysis Toolkit

PigeonXT is an extention to the original Pigeon, created by Anastasis Germanidis. PigeonXT is a simple widget that lets you quickly annotate a dataset of unlabeled examples from the comfort of your Jupyter notebook.

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.

The Satellite Imagery Multiscale Rapid Detection with Windowed Networks (SIMRDWN) codebase combines some of the leading object detection algorithms into a unified framework designed to detect objects both large and small in overhead imagery. This work seeks to extend the YOLT modification of…

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

KNOSSOS is a software tool for the visualization and annotation of 3D image data and was developed for the rapid reconstruction of neural morphology and connectivity.

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.