nowfound

Life & fun · January 28, 2016

Visual Search using features extracted from Tensor Flow inception model

Visual Search using features extracted from Tensor Flow inception model launched on January 28, 2016 with 75 votes, #818 of 4,523 launches that month and more than 90% of that year's launches. The site was not reachable when checked in September 2026.

Visit github.com ↗Alternativestop 18% of January 2016

In plain words

This tool uses Google's TensorFlow Inception model to extract visual features from images and enables searching based on those features. It's designed for developers and researchers working with computer vision who need to find visually similar images. The project leverages deep learning to analyze and compare image characteristics, making it useful for applications requiring content-based image retrieval without relying on metadata or tags.

written from the facts on this page · September 2026

Does a similar job

all alternatives →

More life & fun this month

the category →

Source: Show HN post ↗

Launched alongside, January 2016

the whole month →
  • Siftery▲1,018

    Share products you use at work,explore what others are using

    Work · 2016 · siftery.com

  • Grade your website's strengths and weaknesses in seconds.

    Growth · 2016 · website.grader.com

  • Truebill▲766

    Find your paid subscriptions and cancel with one click

    Commerce · 2016 · rocketmoney.com

  • Oristand▲749

    A super affordable, portable standing desk

    Work · 2016 · oristand.co

  • Rapportive on steroids. See data about contacts in Gmail.

    Growth · 2016 · clearbit.com

  • Create a viral waiting list in 60 seconds

    Growth · 2016 · app.referralhero.com