# Image to 3D Datasets: AI Datasets Source: https://savrn.com/datasets/tasks/image-to-3d Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- SAVRN Model Hub · Datasets by Task # Image to 3D Datasets 9 open-weight image to 3d datasets in the SAVRN Model Hub, with Hong Li, Trustworthy Autonomous Systems Laboratory and Yang You publishing the most. 9Datasets 8Publishers 4Licenses ## Most Downloaded | Dataset | Publisher | License | Monthly downloads | | --- | --- | --- | --- | | [uniocc](https://savrn.com/datasets/uniocc) | Trustworthy Autonomous Systems Laboratory | mit | 1.4M | | [uco3d](https://savrn.com/datasets/uco3d) | AI at Meta | Not stated | 80.1k | | [img2cad-dataset](https://savrn.com/datasets/img2cad-dataset) | Yang You | mit | 10.6k | | [Alchemy3D-1M](https://savrn.com/datasets/alchemy3d-1m) | Badi Li | apache-2.0 | 424 | | [reconviagen-scene-data](https://savrn.com/datasets/reconviagen-scene-data) | Boingshaw | other | — | | [img_full_gt](https://savrn.com/datasets/img-full-gt) | Yao Mingrui | Not stated | — | | [re10k-wds](https://savrn.com/datasets/re10k-wds) | Hong Li | mit | — | | [acid-wds](https://savrn.com/datasets/acid-wds) | Hong Li | mit | — | | [AGILE](https://savrn.com/datasets/agile) | Jin-Chuan Shi | Not stated | — | ## Licenses | License | Datasets | Commercial use | | --- | --- | --- | | mit | 4 | Yes | | not stated | 3 | Not stated | | other | 1 | Read the license | | apache-2.0 | 1 | Yes | ## Who Publishes Them | Publisher | Datasets | | --- | --- | | [Hong Li](https://savrn.com/model-publishers/luh0502) | 2 | | [Trustworthy Autonomous Systems Laboratory](https://savrn.com/model-publishers/tasl-lab) | 1 | | [Yang You](https://savrn.com/model-publishers/qq456cvb) | 1 | | [Badi Li](https://savrn.com/model-publishers/libadi) | 1 | | [AI at Meta](https://savrn.com/model-publishers/facebook) | 1 | | [Jin-Chuan Shi](https://savrn.com/model-publishers/chrisss) | 1 | ## All 9 Datasets Dataset · Image to 3d ### [uniocc](https://savrn.com/datasets/uniocc) [Trustworthy Autonomous Systems Laboratory](https://savrn.com/model-publishers/tasl-lab) UniOcc is a unified framework for occupancy forecasting, single-frame occupancy prediction, and occupancy flow estimation in autonomous driving. By integrating multiple real-world (nuScenes, Waymo) and synthetic (CARLA, OpenCOOD) datasets, UniOcc enables multi-domain training, seamless cross-dataset evaluation, and robust benchmarking across diverse driving environments. We simplify our benchmark so you only need: - Python 3.9 or higher You do not need: - nuscenes-devkit - waymo-open-dataset - tensorflow The UniOcc dataset is available on HuggingFace. The size of each dataset is as follows: To download each dataset, use the following command (recommend you to download only the folders you… Publicly accessible mit [View dataset](https://savrn.com/datasets/uniocc) Dataset · Image to 3d ### [img2cad-dataset](https://savrn.com/datasets/img2cad-dataset) [Yang You](https://savrn.com/model-publishers/qq456cvb) This dataset contains annotated CAD models with semantic part information for training CAD reverse engineering models. The Img2CAD Annotated CAD Dataset is a comprehensive collection of 3D CAD models with: 4,574 models in total, as reported in the paper; train/test splits follow PartNet. Each cad.h5 file contains: - Part names as keys (e.g., "leg", "top", "back") - Bounding box information ({partname}axisalignedbbox) Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization This dataset is released under the MIT License. This dataset builds upon the PartNet and ShapeNet datasets. We thank the original authors for their contributions. Publicly accessible mit 1K