datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
video-to-data-object-assets
NVIDIA Video-to-Data Object Assets
NVIDIA Video-to-Data Object Assets is a collection of textured 3D object meshes and
simulation-oriented USD packages produced for the
NVIDIA Video-to-Data project.
The repository is hosted as a Hugging Face dataset for versioned distribution, but its contents
are 3D assets rather than raw recordings, an annotated machine-learning dataset, or a benchmark.
Version and contents
This is the V2D v0.3 object-asset release.… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/video-to-data-object-assets.image-to-video-human-preference-seedance-1-pro
Rapidata Video Generation Hailuo-02 v Marey Human Preference
In this dataset, ~6k human responses from ~2k human annotators were collected to evaluate Seedance 1 Pro video generation model on our benchmark. This dataset was collected in roughtly 5 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation.
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… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/image-to-video-human-preference-seedance-1-pro.commercial-image-to-video-model-benchmark
Commercial Image-to-Video Model Benchmark via Magic Hour
This reproducible study evaluates commercially useful image-to-video workflows across leading models available through one Magic Hour API integration.
Permanent archived release: Zenodo record and DOI 10.5281/zenodo.22683989.
Magic Hour AI, Inc. designed and funded the study and provides the API used to access every evaluated model. Results are published with all attempts, observed terminal time, API credits charged… See the full description on the dataset page: https://huggingface.co/datasets/magichourhq/commercial-image-to-video-model-benchmark.Video-To-Dataset-Orchard-Apple
Video-To-Dataset-Orchard-Apple Dataset
Dataset Description
This dataset provides a collection of representative image frames extracted from drone video sequences captured in various agricultural environments, with a particular focus on apple orchards. It also includes scenes from grasslands and panoramic views. The frame extraction and selection process followed the "Video-To-Dataset" methodology developed by the primary author.
The dataset is designed to support… See the full description on the dataset page: https://huggingface.co/datasets/sulaqy/Video-To-Dataset-Orchard-Apple.Video-To-Dataset-Orchard-Apple
Video-To-Dataset-Orchard-Apple Dataset
Dataset Description
This dataset provides a collection of representative image frames extracted from drone video sequences captured in various agricultural environments, with a particular focus on apple orchards. It also includes scenes from grasslands and panoramic views. The frame extraction and selection process followed the "Video-To-Dataset" methodology developed by the primary author.
The dataset is designed to support research… See the full description on the dataset page: https://huggingface.co/datasets/miroslavjaros/Video-To-Dataset-Orchard-Apple.image-to-video-human-preference-hailuo-02-marey
Rapidata Video Generation Hailuo-02 v Marey Human Preference
In this dataset, ~6k human responses from ~2k human annotators were collected to evaluate Seedance 1 Pro video generation model on our benchmark. This dataset was collected in roughtly 5 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation.
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… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/image-to-video-human-preference-hailuo-02-marey.image-to-video-human-preference-hailuo-02-marey
Rapidata Video Generation Hailuo-02 v Marey Human Preference
In this dataset, ~6k human responses from ~2k human annotators were collected to evaluate Seedance 1 Pro video generation model on our benchmark. This dataset was collected in roughtly 5 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation.
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… See the full description on the dataset page: https://huggingface.co/datasets/Joex200e/image-to-video-human-preference-hailuo-02-marey.3D-To-Video-samples
3D-To-Video Demo Samples
Sample data for the 3D-To-Video pipeline.
Contents
OMOMO (InterAct) - 3 sequences
Human-object interaction data with separate SMPLX body and object meshes.
sub12_woodchair_005 - Person interacting with a wooden chair
sub14_suitcase_010 - Person handling a suitcase
sub12_tripod_010 - Person setting up a tripod
Each sequence contains:
human.npz - SMPLX poses, betas, translations, gender
object.npz - Object euler angles… See the full description on the dataset page: https://huggingface.co/datasets/zieves/3D-To-Video-samples.image-to-video-human-preference-hailuo-02-marey
Rapidata Video Generation Hailuo-02 v Marey Human Preference
In this dataset, ~6k human responses from ~2k human annotators were collected to evaluate Seedance 1 Pro video generation model on our benchmark. This dataset was collected in roughtly 5 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation.
Explore our latest model rankings on our website.
If you get value from this dataset and would like to see more in the future… See the full description on the dataset page: https://huggingface.co/datasets/Josedde/image-to-video-human-preference-hailuo-02-marey.3D-To-Video-samples
3D-To-Video Demo Samples
Sample data for the 3D-To-Video pipeline.
Contents
OMOMO (InterAct) - 3 sequences
Human-object interaction data with separate SMPLX body and object meshes.
sub12_woodchair_005 - Person interacting with a wooden chair
sub14_suitcase_010 - Person handling a suitcase
sub12_tripod_010 - Person setting up a tripod
Each sequence contains:
human.npz - SMPLX poses, betas, translations, gender
object.npz - Object euler angles, translations… See the full description on the dataset page: https://huggingface.co/datasets/kinam0252/3D-To-Video-samples.image-to-video-human-preference-hailuo-02-marey
Rapidata Video Generation Hailuo-02 v Marey Human Preference
In this dataset, ~6k human responses from ~2k human annotators were collected to evaluate Seedance 1 Pro video generation model on our benchmark. This dataset was collected in roughtly 5 min using the Rapidata Python API, accessible to anyone and ideal for large scale data annotation.
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… See the full description on the dataset page: https://huggingface.co/datasets/Aryan4u/image-to-video-human-preference-hailuo-02-marey.video_to_figurevideo-to-video-dataset
Video-to-Video Dataset
This is a dataset for video-to-video.
You have not to worry about this copyright if you read the outline of license.
Outline of License
This is under Unity-Chan License. The outline is as follow:
You can use this for commercial purpose.
You must display "Song/Motion: © Unity Technologies Japan/UCL." in your work.
The official guideline is here.
Please read it.
Copyrights
3D Model
This model is CC-0.
More
Song
Unity… See the full description on the dataset page: https://huggingface.co/datasets/alfredplpl/video-to-video-dataset.soda_can_keye_to_ad_video_image_captionedSynthetic-Ref-to-Urban-Video-Pairs