How are custom (bounding box) object datasets collected in research/practice? Thinking about making an iOS app to help if this is tedious.

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

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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.

    there are loads of labeling tools out there e.g. https://github.com/tzutalin/labelImg

  • image-sorter2

    One-click image sorting/labelling script

    I first altered the image-sorter2 code to do multi-classes and save to CSV file instead of moving files to directories. I then implemented the YOLOv5 algorithm in the image viewing, so that it would predict where the people were in the image. I could then label where the people were by box number and label their activity. It ends up being pretty quick to label images this way.

  • 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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