Sora Rich annotation
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Contains a rich set of different types of annotations for a set of 198 videos
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Luca Strebel
LucStr
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Rapidata/Translation-deepseek-llama-mixtral-v-deepl
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Has OpenGVLab Lumina Outperformed OpenAI’s Model?
We’ve just released the results from a large-scale human evaluation (400k annotations) of OpenGVLab’s newest text-to-image model, Lumina. Surprisingly, Lumina outperforms OpenAI’s DALL-E 3 in terms of alignment, although it ranks #6 in our overall human preference benchmark.
To support further development in text-to-image models, we’re making our entire human-annotated dataset publicly available. If you’re working on model improvements and need high-quality data, feel free to explore.
We welcome your feedback and look forward to any insights you might share!
https://huggingface.co./datasets/Rapidata/OpenGVLab_Lumina_t2i_human_preference
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Rapidata/OpenGVLab_Lumina_t2i_human_preference
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Article
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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