Open-Source Zero-Shot Image Model Server Enabling Model Feedback

What it does

Contribute to DirectAI/simple-data-free-model-server development by creating an account on GitHub.

This is an open source implementation of DirectAI's core service, provided both to give back to the open source community that we benefited greatly from, as well as to allow our clients to continue to have service in the event that we can no longer host our API. We host zero-shot image models to allow clients to use computer vision at scale without having to collect / label lots of training data or train their own model. However, zero-shot models don't necessarily work out of the box for all cases. We introduce an algorithm for providing feedback to zero-shot models by extending the standard linear decision boundary in the model's embedding space into a two-stage nearest neighbors…from github.com

In the maker’s words, at launch

Hi everyone! Here is an open source implementation of a decently performant server hosting zero-shot image models (CLIP for image classification, OWL-ViT-ST for object detection), with an extra algorithm to allow users to give the models feedback when they make mistakes! We built a company off this flavor of tech two…

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