--- 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 ![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 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](https://huggingface.co/jamarks)