metadata

annotations_creators: []
language: en
size_categories:
  - n<1K
task_categories:
  - image-classification
  - object-detection
  - image-to-3d
  - text-to-3d
task_ids: []
pretty_name: quickstart-3d
tags:
  - 3d
  - 3d
  - fiftyone
  - image-classification
  - object-detection
  - quickstart
dataset_summary: >



  ![image/png](dataset_preview.gif)



  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 200
  samples.


  ## Installation


  If you haven't already, install FiftyOne:


  ```bash

  pip install -U fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  import fiftyone.utils.huggingface as fouh


  # Load the dataset

  # Note: other available arguments include 'max_samples', etc

  dataset = fouh.load_from_hub("Voxel51/quickstart-3d")


  # Launch the App

  session = fo.launch_app(dataset)

  ```

Dataset Card for quickstart-3d

This is a FiftyOne dataset with 200 samples.

Installation

If you haven't already, install FiftyOne:

pip install -U fiftyone

Usage

import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/quickstart-3d")

# Launch the App
session = fo.launch_app(dataset)

Dataset Details

Dataset Description

Language(s) (NLP): en
License: [More Information Needed]

Dataset Sources

Homepage: https://docs.voxel51.com/user_guide/dataset_zoo/datasets.html#quickstart-3d
Demo: https://try.fiftyone.ai/datasets/quickstart-3d/samples

Citation

BibTeX:

@article{moore2020fiftyone, title={FiftyOne}, author={Moore, B. E. and Corso, J. J.}, journal={GitHub. Note: https://github.com/voxel51/fiftyone}, year={2020} }

Dataset Card Author

Jacob Marks