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Mohamed Sadek Saadi

yohoji
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liked a dataset about 9 hours ago
Rapidata/OpenGVLab_Lumina_t2i_human_preference
reacted to jasoncorkill's post with 🚀 7 days ago
This dataset was collected in roughly 4 hours using the Rapidata Python API, showcasing how quickly large-scale annotations can be performed with the right tooling! All that at less than the cost of a single hour of a typical ML engineer in Zurich! The new dataset of ~22,000 human annotations evaluating AI-generated videos based on different dimensions, such as Prompt-Video Alignment, Word for Word Prompt Alignment, Style, Speed of Time flow and Quality of Physics. https://huggingface.co/datasets/Rapidata/text-2-video-Rich-Human-Feedback
reacted to jasoncorkill's post with 🚀 7 days ago
This dataset was collected in roughly 4 hours using the Rapidata Python API, showcasing how quickly large-scale annotations can be performed with the right tooling! All that at less than the cost of a single hour of a typical ML engineer in Zurich! The new dataset of ~22,000 human annotations evaluating AI-generated videos based on different dimensions, such as Prompt-Video Alignment, Word for Word Prompt Alignment, Style, Speed of Time flow and Quality of Physics. https://huggingface.co/datasets/Rapidata/text-2-video-Rich-Human-Feedback
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