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datasets

Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01mariarivaille /diffusion_models_course_stickersimagen<1K1 likes92 downloads2y agoHugging Face02jzousz /diffusion_model_deepfakes_lsun_bedroomimage1M<n<10M0 likes29 downloads2y agoHugging Face03DeFactOfficial /diffusion-models-hf-hubimagetext-to-image1 likes15 downloads2y agoHugging Face04CarloColumbo /diffusion_model_assessment_v2 Dataset Card for generated_flowers_with_embeddings This is a FiftyOne dataset with 286 samples. 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("CarloColumbo/diffusion_model_assessment_v2") # Launch the App session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/CarloColumbo/diffusion_model_assessment_v2.imageimage-classificationn<1K0 likes8 downloads8mo agoHugging Face05Linus-L /diffusion_model_assessment_v2 Dataset Card for generated_flowers_with_embeddings This is a FiftyOne dataset with 20 samples. 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("Linus-L/diffusion_model_assessment_v2") # Launch the App session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/Linus-L/diffusion_model_assessment_v2.imageimage-classificationn<1K0 likes6 downloads8mo agoHugging Face06orgilo /diffusion-model-labimagen<1K0 likes4 downloads2y agoHugging Face07orgilo /diffusion-modelimagen<1K0 likes3 downloads2y agoHugging Face08vincenteichhorn /diffusion-model-ahocvimagen<1K0 likes2 downloads8mo agoHugging Face

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