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FiftyOne Now Reads LeRobot: 50 Embodiments, 497 Episodes, One Indexed Dataset
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FiftyOne Datasets <> Hugging Face Hub Integration! As of yesterday's release of FiftyOne `0.23.8`, the FiftyOne open source library for dataset curation and visualization is now integrated with the Hugging Face Hub! You can now load Parquet datasets from the hub and have them converted directly into FiftyOne datasets. To load MNIST, for example: ```bash pip install -U fiftyone ``` ```py import fiftyone as fo import fiftyone.utils.huggingface as fouh dataset = fouh.load_from_hub( "mnist", format="ParquetFilesDataset", classification_fields="label", ) session = fo.launch_app(dataset) ``` You can also load FiftyOne datasets directly from the hub. Here's how you load the first 1000 samples from the VisDrone dataset: ```py import fiftyone as fo import fiftyone.utils.huggingface as fouh dataset = fouh.load_from_hub("jamarks/VisDrone2019-DET", max_samples=1000) # Launch the App session = fo.launch_app(dataset) ``` And tying it all together, you can push your FiftyOne datasets directly to the hub: ```py import fiftyone.zoo as foz import fiftyone.utils.huggingface as fouh dataset = foz.load_zoo_dataset("quickstart") fouh.push_to_hub(dataset, "my-dataset") ``` Major thanks to @tomaarsen @davanstrien @severo @osanseviero and @julien-c for helping to make this happen!!! Full documentation and details here: https://docs.voxel51.com/integrations/huggingface.html#huggingface-hub
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