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Marian Kannwischer
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kannwischer
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RLHF & Computer Vision
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Rapidata/2k-ranked-images-open-image-preferences-v1
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🚀 We tried something new! We just published a dataset using a new (for us) preference modality: direct ranking based on aesthetic preference. We ranked a couple of thousand images from most to least preferred, all sampled from the Open Image Preferences v1 dataset by the amazing @data-is-better-together team. 📊 Check it out here: https://huggingface.co/datasets/Rapidata/2k-ranked-images-open-image-preferences-v1 We're really curious to hear your thoughts! Is this kind of ranking interesting or useful to you? Let us know! 💬 If it is, please consider leaving a ❤️ and if we hit 30 ❤️s, we’ll go ahead and rank the full 17k image dataset!
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🔥 Yesterday was a fire day! We dropped two brand-new datasets capturing Human Preferences for text-to-video and text-to-image generations powered by our own crowdsourcing tool! Whether you're working on model evaluation, alignment, or fine-tuning, this is for you. 1. Text-to-Video Dataset (Pika 2.2 model): https://huggingface.co/datasets/Rapidata/text-2-video-human-preferences-pika2.2 2. Text-to-Image Dataset (Reve-AI Halfmoon): https://huggingface.co/datasets/Rapidata/Reve-AI-Halfmoon_t2i_human_preference Let’s train AI on AI-generated content with humans in the loop. Let’s make generative models that actually get us.
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Beyond Image Preferences - Rich Human Feedback for Text-to-Image Generation
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Crowd-sourced Open Preference Dataset for Text-to-Image Generation
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