How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Images to inference with no labeling (use foundation models to train supervised models).
An open source online platform for collaborative image labeling
Collaborative Annotation Toolkit for Massive Amounts of Image Data
A collaborative tool for labeling image data for yolo
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.
The main features of ilastik/ilastik are: Cell Segmentation, Image Annotation Tools.
Projects with overlapping indexed features include: autodistill/autodistill — Images to inference with no labeling (use foundation models to train supervised models). bit-bots/imagetagger — An open source online platform for collaborative image labeling. catmaid/catmaid — Collaborative Annotation Toolkit for Massive Amounts of Image Data. ch-sa/labelcloud — A lightweight tool for labeling 3D bounding boxes in point clouds. computational-cell-analytics/micro-sam. alturosdestinations/alturos.imageannotation — A collaborative tool for labeling image data for yolo.