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).
The main features of autodistill/autodistill are: Image Annotation Tools, Model Optimization and Acceleration.
Projects with overlapping indexed features include: 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. dennisbakhuis/pigeonxt — PigeonXT is an extention to the original Pigeon, created by Anastasis Germanidis. PigeonXT is a simple widget that… developmentseed/label-maker — Data Preparation for Satellite Machine Learning. alturosdestinations/alturos.imageannotation — A collaborative tool for labeling image data for yolo.
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.
A collaborative tool for labeling image data for yolo