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AI · August 28, 2017

OS

Open source Deep Learning Background removal service

Me and my colleague have been working on a small POC for Background removal. We used semantic segmentation trained on selfies, and documented the process of training and deploying a Keras model with Docker, Heroku and a Gitlab CI in 3 posts: https://greenscreen-ai.boorgle.com Server side implementation https://greenscreen-ai-client.boorgle.com Client side implementation using KerasJS Training post https://medium.com/@gidishperber/background-removal-with-dee... Deploying Keras model to Heroku with Gitlab CI…

Open source Deep Learning Background removal service launched on August 28, 2017 with 10 votes, #956 of 3,214 launches that month and more than 75% of that year's launches.

In plain words

This open source service removes backgrounds from images using semantic segmentation trained on selfies. Built as a proof of concept, it demonstrates how to train and deploy a Keras deep learning model across Docker, Heroku, and GitLab CI. The project includes both server-side and client-side implementations using KerasJS, with detailed documentation of the training and deployment process.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Me and my colleague have been working on a small POC for Background removal. We used semantic segmentation trained on selfies, and documented the process of training and deploying a Keras model with Docker, Heroku and a Gitlab CI in 3 posts: https://greenscreen-ai.boorgle.com Server side implementation…

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Source: Show HN post ↗ · launch text quoted in part

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