“Frameworks” for labeling training data (imagery)?

This page summarizes the projects mentioned and recommended in the original post on /r/datascience

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  • labelImg

    Discontinued LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

  • I recently used labelImg. It's free, easy to use and has a simple interface. If you don't want to install nothing you can use VGG Image Annotator because it runs directly in a web browser.

  • coco-annotator

    :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

  • I've used Coco Annotator in a project before, we hosted it on an Azure VM. Really nice tool, can make multiple users, export in generic coco format, use bounding boxes on annotations, etc.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • cvat

    Discontinued Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]

  • Check out CVAT https://github.com/openvinotoolkit/cvat

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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