datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wds_objectnetwds_objectnetobjaverse_rendering_setObjaverse_zero123_wdsobjaversexl_sketchfabobjaverse-lvisobjaversexl_sketchfab_pmap1objaversexl_sketchfab_pmapobjaverse_raysObjaverseXL_github_rendersobjaverse_processed_renders_and_captionsContains rendered views and captions from Objaverse XL objects. the objects are from the alignment and TRELLIS500K (over 1 Millionen processed objects) dataset. We downloaded and rendered 4 views of each object. We added TRELLIS and CAP3D Captions where available. If there were no captions we generated new captions with the large version of Florence 2. This is the base dataset we used to generate MeshFleet which is described in MeshFleet: Filtered and Annotated 3D Vehicle Dataset for Domain… See the full description on the dataset page: https://huggingface.co/datasets/DamianBoborzi/objaverse_processed_renders_and_captions.wds_vtab-clevr_closest_object_distanceobjaversexl_github6.5wds_vtab-clevr_closest_object_distance_test
CLEVR Closest Object Distance Webdataset (Test set only)
Original paper: CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Homepage: https://cs.stanford.edu/people/jcjohns/clevr/
Bibtex:
@article{DBLP:journals/corr/JohnsonHMFZG16,
author = {Justin Johnson and
Bharath Hariharan and
Laurens van der Maaten and
Li Fei{-}Fei and
C. Lawrence Zitnick and
Ross B. Girshick}… See the full description on the dataset page: https://huggingface.co/datasets/djghosh/wds_vtab-clevr_closest_object_distance_test.wds_clevr_closest_object_distance18_obj_444
Dataset Description
This dataset contains the 444 images that we used for training our model - https://huggingface.co/SPRIGHT-T2I/spright-t2i-sd2. This contains the samples of this subset related to the Segment Anything images. We will release the LAION images, when the parent images are made public again.
Our training and validation set are a subset of the SPRIGHT dataset, and consists of 444 and 50 images respectively, randomly sampled in a 50:50 split between LAION-Aesthetics and… See the full description on the dataset page: https://huggingface.co/datasets/SPRIGHT-T2I/18_obj_444.hecto_for_code_verification
Assets for Dacon Deepfake Detection Challenge Verification
This repository hosts the necessary assets (datasets and model weights) for the Code Verification and Reproducibility Check of the Dacon Deepfake Detection Challenge (2nd Evaluation Phase).
All files are structured to be compatible with the automated download scripts provided in the submission package.
Repository Structure
1. Model Weights (model/, weights/)
model/model.pt (Golden Model)
Description:… See the full description on the dataset page: https://huggingface.co/datasets/object2021/hecto_for_code_verification.ObjaverseXL_sketchfab-features-part_0004objaverseObjaverseXL_sketchfab-features-part_0002object_detectionobjaverse-1.0-renderingsobject_images
Overview
This dataset contains 2D rendered images generated from 3D assets originally sourced from Objaverse and Objathor.The purpose of this dataset is to provide a large-scale collection of photo-realistic renderings for research on vision, multimodal learning, and text-to-3D understanding.
Following prior works such as Diffusion4D and Stable-Zero123,we release only the rendered 2D images (not the original 3D assets) to facilitate efficient experimentation while preserving the… See the full description on the dataset page: https://huggingface.co/datasets/LEGO-Eval/object_images.ICASSP2024-Acoustic_Scattering_AI-Noninvasive_Object_Classificationsobjects365objaversexl_sketchfab_pmap2Objects365_testtrajdiffuser-diverse-object-datasetobject365objaverse_part_0