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hagrid50k
- huggingface.co
Updated Apr 21, 2023
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EmailClick to copy linkLink copiedCiteVincent Luo (2023). hagrid50k [Dataset]. https://huggingface.co/datasets/Vincent-luo/hagrid50kCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedApr 21, 2023AuthorsVincent LuoDescriptionDataset Card for "hagrid50k"
This dataset is designed to train a ControlNet with human hands. It includes hand landmarks detected by MediaPipe(for more information refer to: https://developers.google.com/mediapipe/solutions/vision/hand_landmarker). The source image data is from HaGRID dataset and we use a modified version from Kaggle(https://www.kaggle.com/datasets/innominate817/hagrid-classification-512p) to build this dataset. We randomly select 50k data samples to build this… See the full description on the dataset page: https://huggingface.co/datasets/Vincent-luo/hagrid50k.
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hagrid-mediapipe-hands
- huggingface.co
Updated May 26, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteVincent Luo (2023). hagrid-mediapipe-hands [Dataset]. https://huggingface.co/datasets/Vincent-luo/hagrid-mediapipe-handsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedMay 26, 2023AuthorsVincent LuoDescriptionDataset Card for "hagrid-mediapipe-hands"
This dataset is designed to train a ControlNet with human hands. It includes hand landmarks detected by MediaPipe(for more information refer to: https://developers.google.com/mediapipe/solutions/vision/hand_landmarker). The source image data is from HaGRID dataset and we use a modified version from Kaggle(https://www.kaggle.com/datasets/innominate817/hagrid-classification-512p) to build this dataset. There are 507050 data samples in total… See the full description on the dataset page: https://huggingface.co/datasets/Vincent-luo/hagrid-mediapipe-hands.
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This dataset is designed to train a ControlNet with human hands. It includes hand landmarks detected by MediaPipe(for more information refer to: https://developers.google.com/mediapipe/solutions/vision/hand_landmarker). The source image data is from HaGRID dataset and we use a modified version from Kaggle(https://www.kaggle.com/datasets/innominate817/hagrid-classification-512p) to build this dataset. We randomly select 50k data samples to build this… See the full description on the dataset page: https://huggingface.co/datasets/Vincent-luo/hagrid50k.