Segmentation on synthetic images does not generalize on experimental data.

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

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  • salient-extract

    Salient feature extractor based on yoloV8

  • Roboflow makes it easier to create masks for images that you want to segment. If you are trying to segment object that you can hold in your hands, you can give https://github.com/andrewjouffray/salient-extract a try to collect data and then you can use https://github.com/andrewjouffray/Composite-Image-Generator to generate real-looking data.

  • Composite-Image-Generator

    Semi-sythetic data generator using the "copy - paste" method.

  • Roboflow makes it easier to create masks for images that you want to segment. If you are trying to segment object that you can hold in your hands, you can give https://github.com/andrewjouffray/salient-extract a try to collect data and then you can use https://github.com/andrewjouffray/Composite-Image-Generator to generate real-looking data.

  • 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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  • awesome-domain-adaptation

    A collection of AWESOME things about domian adaptation

  • This is a typical problem of domain adaptation. You can look up papers related to it here: https://github.com/zhaoxin94/awesome-domain-adaptation

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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