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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
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.
The main features of shoumikchow/bbox-visualizer are: Image Annotation Tools.
Open-source alternatives to shoumikchow/bbox-visualizer 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. dennisbakhuis/pigeonxt — PigeonXT is an extention to the original Pigeon, created by Anastasis Germanidis. PigeonXT is a simple widget that… alturosdestinations/alturos.imageannotation — A collaborative tool for labeling image data for yolo.