[R] SEEM: Segment Everything Everywhere All at Once

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

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.
www.influxdata.com
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  • Segment-Everything-Everywhere-All-At-Once

    [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

  • Play with the demo on GitHub! https://github.com/UX-Decoder/Segment-Everything-Everywhere-All-At-Once

  • segment-anything

    The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  • Found relevant code at https://github.com/facebookresearch/segment-anything + all code implementations here

  • 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.

    InfluxDB logo
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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