Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Update README.md
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README.md
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This is a grouped multimodal [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2000 samples, each consisting of an rgb image and LiDAR data.
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The samples are labeled as cube or sphere. The classes are perfectly balanced (1000 cubes, 1000 spheres).
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This dataset is used in this project on github: https://github.com/MatthiasCr/Computer-Vision-Assignment-2/tree/main
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There is also explained how to use this dataset, visualize it in fiftyone, and convert it to a torch dataset.
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This is a grouped multimodal [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2000 samples, each consisting of an rgb image and LiDAR data of objects.
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The samples are labeled as cube or sphere. The classes are perfectly balanced (1000 cubes, 1000 spheres).
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+
This dataset is used in this project on github: https://github.com/MatthiasCr/Computer-Vision-Assignment-2/tree/main.
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There it is also explained how to use this dataset, visualize it in fiftyone, and convert it to a torch dataset.
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