dagshub/3d-model-datasets

Open-source 3D Model datasets

What is DagsHub?

DagsHub is a platform where machine learning and data science teams can build, manage, and collaborate on their projects. With DagsHub you can:

1. Version code, data, and models in one place. Use the free provided DagsHub storage or connect it to your cloud storage
2. Track Experiments using Git, DVC or MLflow, to provide a fully reproducible environment
3. Visualize pipelines, data, and notebooks in and interactive, diff-able, and dynamic way
4. Label your data directly on the platform using Label Studio
5. Share your work with your team members
6. Stream and upload your data in an intuitive and easy way, while preserving versioning and structure.

DagsHub is built firmly around open, standard formats for your project. In particular:

• Git
• DVC
• MLflow
• Label Studio
• Standard data formats like YAML, JSON, CSV

Therefore, you can work with DagsHub regardless of your chosen programming language or frameworks.

DagsHub Client API & CLI

This client library is meant to help you get started quickly with DagsHub. It is made up of Experiment tracking and Direct Data Access (DDA), a component to let you stream and upload your data.

For more details on the different functions of the client, check out the docs segments:

1. Installation & Setup
2. Data Streaming
3. Data Upload
4. Experiment Tracking
   1. Autologging
5. Data Engine

Some functionality is supported only in Python.

To read about some of the awesome use cases for Direct Data Access, check out the relevant doc page.

Installation

pip install dagshub

Direct Data Access (DDA) functionality requires authentication, which you can easily do by running the following command in your terminal:

dagshub login

Quickstart for Data Streaming

The easiest way to start using DagsHub is via the Python Hooks method. To do this:

1. Your DagsHub project,
2. Copy the following 2 lines of code into your Python code which accesses your data:

   from dagshub.streaming import install_hooks
   install_hooks()

3. That’s it! You now have streaming access to all your project files.

🤩 Check out this colab to see an example of this Data Streaming work end to end:

Next Steps

You can dive into the expanded documentation, to learn more about data streaming, data upload and experiment tracking with DagsHub

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Analytics

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Made with 🐶 by DagsHub.

3d-model-datasets's Issues

Claim : SHREC'19 track

This issue aims to add SHREC dataset:

The complete dataset consists in hundreds of shape pairs composed by meshes that represent deformable human body shapes. Shapes belonging to these categories undergo changes in pose and identity. The meshes exhibit variations of two different types: Density (from 5K to 50K vertices). Distribution (uniform and non-uniform). There will be three different settings: SMPL-to-all, all-to-SMPL, and all-to-all. For each of these cases we will consider two different competitions: one for descriptors repeatability, and one for dense correspondence pipelines.

Homepage : SHREC'19
Papers-with-code : Papers with code

Claim: MSR ActionPairs dataset

This issue claims to add MSR ActionPairs dataset:

This is a 3D action recognition dataset, also known as 3D Action Pairs dataset. The actions in this dataset are selected in pairs such that the two actions of each pair are similar in motion (have similar trajectories) and shape (have similar objects); however, the motion-shape relation is different.

Homepage : https://paperswithcode.com/dataset/msr-actionpairs
Paper : http://www.cs.ucf.edu/~oreifej/papers/HON4D.pdf

Claim: https://paperswithcode.com/dataset/humans-in-3d

Claim: BuildingNet- Dataset of 3D building models

This issue aims to add the dataset with the following details.

BuildingNet is a large-scale dataset of 3D building models whose exteriors are consistently labeled.

Paper with Code Page- https://paperswithcode.com/dataset/buildingnet
Dataset Homepage- https://buildingnet.org/

Claim: Pix3D: Dataset for Single-Image 3D Shape Modeling

This issue claims to add Pix3D dataset:

The Pix3D dataset is a large-scale benchmark of diverse image-shape pairs with pixel-level 2D-3D alignment. Pix3D has wide applications in shape-related tasks including reconstruction, retrieval, viewpoint estimation, etc.

Paper : link
Homepage : link

Claim: ModelNet40- 3D CAD model Dataset for objects

This issue aims to add the dataset with the following details.

The ModelNet40 dataset consists of 12,311 CAD-generated meshes in 40 categories (such as airplane, car, plant, and lamp).

Paper with Code Page- https://paperswithcode.com/dataset/modelnet
Dataset Homepage- https://modelnet.cs.princeton.edu/

Claim: SceneNet dataset

This issue claims to add SceneNet dataset :

SceneNet is a dataset of labelled synthetic indoor scenes. There are several labeled indoor scenes, including:

11 Bedroom scenes with 428 objects
15 Office scenes with 1,203 objects
11 Kitchen scenes with 797 objects
10 Living Room scenes with 715 objects
10 Bathrooms with 556 objects

homepage: https://robotvault.bitbucket.io/

How2Sign 3D Model Dataset

Hi, I would like to contribute to this dataset under Hactoberfest 2022. Kindly assign this to me, thanks!

Claim: PointCloud-C dataset

This issue claims to add PointCloud-C dataset:

PointCloud-C is the very first test-suite for point cloud robustness analysis under corruptions.

Two sets: ModelNet-C for point cloud classification and ShapeNet-C for part segmentation.
Real-world corruption sources, ranging from object-, senor-, and processing-levels.
Seven types of corruptions, each with five severity levels.

Homepage: https://pointcloud-c.github.io/home.html

Claim: FreiHAND- A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images

This issue aims to add the dataset with the following details.

FreiHAND is a 3D hand pose dataset that records different hand actions performed by 32 people for evaluation.

Paper with Code Page- https://paperswithcode.com/dataset/freihand
Dataset Homepage- https://lmb.informatik.uni-freiburg.de/projects/freihand/

Claim: VehicleX- Large Scale Synthetic Vehicles Dataset

This issue aims to add the dataset with the following details.

VehicleX is a large-scale synthetic dataset created in Unity that contains 1,362 vehicles of various 3D models with fully editable attributes.

Paper with Code Page- https://paperswithcode.com/dataset/vehiclex
Dataset Homepage-https://github.com/yorkeyao/VehicleX

Claim: Chairs Dataset

https://paperswithcode.com/dataset/chairs

I'd like to work on this dataset. Please assign it to me

Waymo Open Dataset

Hello there, I would like to contribute to this dataset under Hactoberfest 2022. Please assign this to me. Thank ya!

Claim: 3DPW- 3D Poses in the Wild Dataset

This issue aims to add the dataset with the following details.

The 3D Poses in the Wild dataset is the first dataset in the wild with accurate 3D poses for evaluation.

Paper with Code Page- https://paperswithcode.com/dataset/3dpw
Dataset Homepage- https://virtualhumans.mpi-inf.mpg.de/3DPW/

Claim: Thingi10K- 3D Printing Models Dataset

This issue aims to add the dataset with the following details.

Thingi10K is a dataset of 3D-Printing Models. Specifically, there are 10,000 models from featured “things”, suitable for testing 3D printing techniques

Paper with Code Page- https://paperswithcode.com/dataset/thingi10k
Dataset Homepage-https://ten-thousand-models.appspot.com/

Claim: Replica - A Digital Replica of Indoor Spaces

This issue aims to add the dataset with the following details.

The Replica Dataset is a dataset of high-quality reconstructions of a variety of indoor spaces. Each reconstruction has clean, dense geometry, high resolution, and high dynamic range textures, glass and mirror surface information, planar segmentation, as well as semantic class and instance segmentation.
Paper with Code Page- paperswithcode.com/dataset/replica
Dataset Homepage- Replica-Dataset

Claim: smallNORB - 3D object recognition from shape.

This issue aims to add the dataset with the following details.

The smallNORB dataset is a datset for 3D object recognition from shape. It contains images of 50 toys belonging to 5 generic categories: four-legged animals, human figures, airplanes, trucks, and cars. The objects were imaged by two cameras under 6 lighting conditions, 9 elevations (30 to 70 degrees every 5 degrees), and 18 azimuths (0 to 340 every 20 degrees). The training set is composed of 5 instances of each category (instances 4, 6, 7, 8 and 9), and the test set of the remaining 5 instances (instances 0, 1, 2, 3, and 5).

Paper with Code Page- paperswithcode.com/dataset/smallnorb
Dataset Homepage- smallNORB-Dataset

Claim- PanoContext: a datset containing 500 annotated cuboid layouts of indoor environments such as bedrooms and living rooms.

This issue aims to add the following dataset:

PanoContext

The PanoContext dataset contains 500 annotated cuboid layouts of indoor environments such as bedrooms and living rooms.

Paper: https://paperswithcode.com/dataset/panocontext
Paper homepage: https://panocontext.cs.princeton.edu/

Claim: SceneNN dataset

This issue claims to add SceneNN dataset:

SceneNN is an RGB-D scene dataset consisting of more than 100 indoor scenes. The scenes are captured at various places, e.g., offices, dormitory, classrooms, pantry, etc., from University of Massachusetts Boston and Singapore University of Technology and Design. All scenes are reconstructed into triangle meshes and have per-vertex and per-pixel annotation. The dataset is additionally enriched with fine-grained information such as axis-aligned bounding boxes, oriented bounding boxes, and object poses.

homepage : https://hkust-vgd.github.io/scenenn/

Claim: MSRC-12 (MSRC-12 Kinect Gesture Dataset)

I would also like to work with this dataset

Claim: Florence3D

This issue claims to add Florence3D dataset:

The dataset collected at the University of Florence during 2012, has been captured using a Kinect camera. It includes 9 activities: wave, drink from a bottle, answer phone,clap, tight lace, sit down, stand up, read watch, bow. During acquisition, 10 subjects were asked to perform the above actions for 2/3 times. This resulted in a total of 215 activity samples.

Homepage: link

Claim: ShapeNetSem- A richly-annotated dataset of 3D shapes

This issue aims to add the dataset with the following details.

ShapeNetSem is a smaller, more densely annotated subset of ShapeNetCore consisting of 12,000 models spread over a broader set of 270 categories

Paper with Code Page- https://paperswithcode.com/dataset/shapenet
Dataset Homepage- https://shapenet.org/

Claim : Occluded COCO Dataset

https://paperswithcode.com/dataset/occluded-coco

Claim: Sydney Urban Objects Dataset

This issue is aimed towards adding The sydney urban objects dataset. The details about the dataset is as follows:

This dataset contains a variety of common urban road objects scanned with a Velodyne HDL-64E LIDAR, collected in the CBD of Sydney, Australia. There are 631 individual scans of objects across classes of vehicles, pedestrians, signs and trees.

It was collected in order to test matching and classification algorithms. It aims to provide non-ideal sensing conditions that are representative of practical urban sensing systems, with a large variability in viewpoint and occlusion.

Papers with code page: https://paperswithcode.com/dataset/sydney-urban-objects
Dataset Homepage: https://www.acfr.usyd.edu.au/papers/SydneyUrbanObjectsDataset.shtml

Claim: CAPE- 3D Dynamic Dataset of Clothed Humans

This issue aims to add the dataset with the following details.

CAPE is a Graph-CNN-based generative model for dressing 3D meshes of the human body.

Paper with Code Page- https://paperswithcode.com/dataset/cape
Dataset Homepage- https://cape.is.tue.mpg.de/index.html

Claim: COMA- meshes of the human face in various expressions

This issue aims to add the CoMA (Convolutional Mesh Autoencoders) dataset. Its details:
CoMA contains 17,794 meshes of the human face in various expressions.
Paper with Code Page- https://paperswithcode.com/dataset/coma
Dataset homepage- https://coma.is.tue.mpg.de/

Claim: SSP-3D Sports Shape and Pose Datatset

This issue aims to add the following dataset.

SSP-3D is an evaluation dataset consisting of 311 images of sportspersons in tight-fitted clothes, with a variety of body shapes and poses.

Papers with Code Page- https://paperswithcode.com/dataset/ssp-3d
Dataset Homepage- https://github.com/akashsengupta1997/SSP-3D

Claim: ScanObjectNN- Real World Dataset of 3D Objects

This issue aims to add the dataset with the following details.

ScanObjectNN is a newly published real-world dataset comprising of 2902 3D objects in 15 categories.

Paper with Code Page- https://paperswithcode.com/dataset/scanobjectnn
Dataset Homepage- https://hkust-vgd.github.io/scanobjectnn/