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Voxel51 /quickstart-3d 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… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/quickstart-3d.3dimage-classificationn<1K5 likes4k downloads2y agoHugging Facemvp-lab /LLaVA-OneVision-1.5-Mid-Training-Webdataset-Quick-Start-3M3 likes3.7k downloads1y agoHugging Facegrattoir /quicker0 likes2.8k downloads3y agoHugging FaceQuicker123 /lifelongwm-lifelong0 likes1.1k downloads6mo agoHugging Facesketchingsquad /QuickdrawHDimage10M<n<100M0 likes784 downloads5mo agoHugging Facequickmt /quickmt-train.de-en quickmt de-en Training Corpus Contains the following datasets downloaded with mtdata after deduplication and basic filtering with quickmt: Statmt-commoncrawl_wmt13-1-deu-eng Statmt-europarl_wmt13-7-deu-eng Statmt-news_commentary_wmt18-13-deu-eng Statmt-europarl-9-deu-eng Statmt-europarl-7-deu-eng Statmt-news_commentary-14-deu-eng Statmt-news_commentary-15-deu-eng Statmt-news_commentary-16-deu-eng Statmt-news_commentary-17-deu-eng Statmt-news_commentary-18-deu-eng… See the full description on the dataset page: https://huggingface.co/datasets/quickmt/quickmt-train.de-en.texttranslation100M<n<1B0 likes655 downloads1y agoHugging Face