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Luca Strebel

LucStr
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reacted to jasoncorkill's post with 🔥 1 day ago
The Sora Video Generation Aligned Words dataset contains a collection of word segments for text-to-video or other multimodal research. It is intended to help researchers and engineers explore fine-grained prompts, including those where certain words are not aligned with the video. We hope this dataset will support your work in prompt understanding and advance progress in multimodal projects. If you have specific questions, feel free to reach out. https://huggingface.co/datasets/Rapidata/sora-video-generation-aligned-words
reacted to jasoncorkill's post with 👀 5 days ago
Integrating human feedback is vital for evolving AI models. Boost quality, scalability, and cost-effectiveness with our crowdsourcing tool! ..Or run A/B tests and gather thousands of responses in minutes. Upload two images, ask a question, and watch the insights roll in! Check it out here and let us know your feedback: https://app.rapidata.ai/compare
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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liked a dataset 14 days ago
liked 6 datasets 21 days ago
liked a dataset 26 days ago
liked 2 datasets about 1 month ago
liked 10 datasets about 2 months ago