What is the best software to prepare training images for yolo (preferably offline).

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

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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]

  • for image annotations, have you seen CVAT? https://github.com/opencv/cvat/

  • 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.

  • In addition to the above comments, check out https://github.com/heartexlabs/labelImg

  • 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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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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