l3p-cv/lost
Label Objects and Save Time (LOST) - Design your own smart Image Annotation process in a web-based environment.
This is a web-based platform for teams to quickly and accurately label objects within images. You input raw images, and it outputs organized datasets with precise annotations (like bounding boxes, polygons, or points) that are crucial for training machine learning models. It's designed for data annotators, scientists, and researchers who need to prepare image datasets efficiently, even with semi-automated assistance.
577 stars. Actively maintained with 5 commits in the last 30 days.
Use this if you need a collaborative, web-based system to annotate large collections of images for tasks like object detection or image classification, especially if you want to integrate AI-generated annotation proposals.
Not ideal if your primary need is general-purpose data labeling for non-image data, or if you require an offline-only solution with no internet connectivity.
Stars
577
Forks
79
Language
Python
License
MIT
Category
Last pushed
Feb 18, 2026
Commits (30d)
5
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