datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Runway_Frames_t2i_human_preferences
Rapidata Frames Preference
This T2I dataset contains roughly 400k human responses from over 82k individual annotators, collected in just ~2 Days using the Rapidata Python API, accessible to anyone and ideal for large scale evaluation.
Evaluating Frames across three categories: preference, coherence, and alignment.
Explore our latest model rankings on our website.
If you get value from this dataset and would like to see more in the future, please consider liking it.… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/Runway_Frames_t2i_human_preferences.hmdb51-pick-run-stand
HMDB51 — Pick / Run / Stand (frames procesados)
Subconjunto procesado del dataset HMDB51 para un caso de uso de
clasificación de productividad de empleados en almacén mediante visión por
computadora: distinguir entre trabajador activo (recogiendo / corriendo)
e inactivo/pausado (parado).
Clases
Clase HMDB51
Etiqueta de negocio
pick
Activo (Pick Up)
run
Activo (Running)
stand
Inactivo/Pausado (Standing)
Estadísticas
492 videos… See the full description on the dataset page: https://huggingface.co/datasets/treborDev/hmdb51-pick-run-stand.MJRecap_Human_filtered
Dataset Card
Introduction
In recent studies, there has been a significant concern regarding data privacy. While one can scrape data online or create one’s own datasets, there is a major problem concerning the privacy of any individuals depicted in a dataset, their consent to be published, as well as dataset copyright.
Because of this, the present dataset aims to focus on fully human-free and copyright-free material based on the existing published datasets created… See the full description on the dataset page: https://huggingface.co/datasets/RunningInTheVoid/MJRecap_Human_filtered.