Mohamed Sadek Saadi
yohoji
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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 🚀
3 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 👀
3 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
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