datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RenderedTextThis dataset has been created by Stability AI and LAION.
This dataset contains 12 million 1024x1024 images of handwritten text written on a digital 3D sheet of paper generated using Blender geometry nodes and rendered using Blender Cycles. The text has varying font size, color, and rotation, and the paper was rendered under random lighting conditions.
Note that, the first 10 million examples are in the root folder of this dataset repository and the remaining 2 million are in ./remaining (due… See the full description on the dataset page: https://huggingface.co/datasets/wendlerc/RenderedText.objaverse-1.0-renderingswds_renderedsst2ShapeNet_RenderingOriAnyV2_Train_Render
Orient Anything V2 Dataset
Project Page | Paper | GitHub
Orient Anything V2 is an enhanced foundation model for unified understanding of object 3D orientation and rotation from single or paired images. This repository contains the training data (final rendering data) used for the model.
Sample Usage
Below is a snippet to run inference using the model and data logic, as found in the official GitHub repository:
import numpy as np
from PIL importImage
import torch
import… See the full description on the dataset page: https://huggingface.co/datasets/Viglong/OriAnyV2_Train_Render.wds_renderedsst2objaverse_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.objaverse_rendering_setObjaverseXL_github_rendersweb-dataset_3_screenshot_rendered_train_mhtml_3web-dataset_4_screenshot_rendered_train_mhtml_4qwen-image-text-renderingeditsplat_renderedE31_render_gen_vqwds_renderedsst2