labelme
A graphical image annotation tool written in Python for computer vision tasks like segmentation and detection.
What is labelme?
Labelme is a graphical image annotation tool written in Python that allows users to label images for computer vision tasks. It supports various annotation primitives like polygons, rectangles, and circles, and exports data to standard formats like VOC and COCO. The tool solves the problem of creating high-quality labeled datasets needed for training machine learning models in object detection, segmentation, and classification.
Computer vision researchers, machine learning engineers, and data scientists who need to create or annotate image datasets for model training. It's also suitable for developers working on projects requiring custom annotation pipelines.
Developers choose Labelme for its open-source nature, support for multiple annotation types, and integration with AI models for assisted labeling. Its ability to export to standard dataset formats and customizable GUI make it a flexible and efficient tool compared to proprietary alternatives.
Overview
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Use Cases
Best For
- Annotating images for object detection and bounding box tasks
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