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Pickapic

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Image feedback collection for research.

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Pick a Pic is an open-sourced application for collecting human feedback on AI-generated images for academic research in AI. The app allows users to generate images from text and then rank them. All code, data, and models resulting from the research project are open-sourced and available to the public. Users must authenticate via Google before generating and participating in the project. The mission is to build the largest open-sourced and publicly available human-feedback for text-to-image dataset. Currently, the app uses Stable Diffusion 2.1 and ProtogenX3.4 models. The data will be updated periodically and the collected data will be released into the public domain. The project is supported by the Google TRC Program.

7.2Expert Score
Pickapic
Wondfrful
Pick a Pic is an open-sourced application for collecting human feedback on AI-generated images for academic research in AI. The app allows users to generate images from text and then rank them.
Design
6.4
Easy to use
5.7
Price
6.8
Features
5.9
Accuracy
6.3
PROS
  • Open-sourced application
  • Image generation from text
  • Collection of human feedback
  • Image ranking feature
  • Publicly available output
  • Google authentication
  • Largest text-to-image dataset
  • Stable Diffusion 2.1 model
  • ProtogenX3.4 model
  • Periodically updated data
  • Released into public domain
  • Google TRC Program support
  • Access to code repository
  • Ability to participate
  • For research purposes
  • Potential for academic collaboration
  • Dedicated community support
  • Clear project mission
  • Structured model inference repository
  • Chat support via Discord
CONS
  • Requires Google authentication
  • Data collection ent required
  • Only uses Stable Diffusion 2.1 and ProtogenX3.4
  • Periodic update of dataset
  • Publicly releases user data
  • Project support dependent on Google TRC Program

Specification: Pickapic

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7.2/10
(Expert Score)
#2 in category Photography
Design
6.4
Easy to use
5.7
Price
6.8
Features
5.9
Accuracy
6.3
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