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Dataset Card for multimodal_shapes_subset

This is a grouped multimodal FiftyOne dataset with 2000 samples, each consisting of an rgb image and LiDAR data of objects. The samples are labeled as cube or sphere. The classes are perfectly balanced (1000 cubes, 1000 spheres).

This dataset is used in this project on github: https://github.com/MatthiasCr/Computer-Vision-Assignment-2/tree/main. There it is also explained how to use this dataset, visualize it in fiftyone, and convert it to a torch dataset.

Installation

If you haven''t already, install FiftyOne:

pip install -U fiftyone

Usage

import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

# Load the dataset
# Note: other available arguments include ''max_samples'', etc
dataset = load_from_hub("MatthiasCr/multimodal-shapes-subset")

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

Dataset Details

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