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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
17,713 datasets
A 2023-12-16 update of geospatial data adhering to the COVADIS standard for Risk Prevention Plans (PPRs). The dataset is provided by the Bureau de Recherches Géologiques et Minières (BRGM) via an INSPIRE download service. PPRs are regulatory instruments for major risk prevention, developed under state competence as per the law of 22 July 1987.
Geospatial data for the Risk Prevention Plan (PPR) for Marciac, France, part of the COVADIS data standard. The dataset is provided via an INSPIRE download service and was last updated on December 16, 2023. The PPR tool is established under French law and its development falls under the competence of the State, decided by the Prefect.
French risk prevention plan (PPR) data for the Berdoues area, adhering to the COVADIS standard for storing spatial data in digital format. The dataset is provided by the Bureau de Recherches Géologiques et Minières (BRGM) via an INSPIRE download service and was last updated in December 2023. PPR development is a state competency under the 1987 law on civil security and major risk prevention.
Geospatial data conforming to the COVADIS standard for Risk Prevention Plans (PPRs) in France. The dataset is produced by the French State, under the authority of the Prefect, as mandated by the law of 22 July 1987. It was last updated on December 16, 2023.
The COVADIS data standard for risk prevention plans (RPPs) includes technical specifications for storing spatial data from these plans in digital format. The PPR tool is established by French law and its development falls under the competence of the State, decided by the Prefect. The dataset is provided by the Bureau de Recherches Géologiques et Minières and was last updated on 2023-12-16.
A 2023-12-16 updated dataset from the French Geological Survey (BRGM) containing spatial data for Risk Prevention Plans (PPRs). The data conforms to the COVADIS standard for storing digital representations of plans mandated under the law of 22 July 1987. The dataset is provided via an INSPIRE download service, with development falling under the competence of the French State and Prefects.
Montégut, Gers, France is the geographic scope of this dataset, which represents a Risk Prevention Plan (PPR) for the removal-swelling of clays. The dataset is provided by the BUREAU DE RECHERCHES GÉOLOGIQUES ET MINIÈRES and adheres to the COVADIS data standard for storing spatial data from risk prevention plans in digital format. It was last updated on 2023-12-16.
Gimont, a municipality in the Gers department of France, has a dataset for its risk prevention plan concerning clay removal and swelling. The data conforms to the COVADIS standard for storing spatial data from risk prevention plans (PPRs) in digital format. The dataset was last updated on December 16, 2023, and is provided by the Bureau de Recherches Géologiques et Minières (BRGM).
8,563,753 filtered image-text pairs from the LAION-COCO dataset, curated for high visual quality. This subset was created by applying rules for image size, aesthetic score, and watermark probability. The dataset was uploaded by guangyil on Hugging Face in November 2023.
SA-Med2D-20M is a benchmark dataset for medical image segmentation, described as the largest in its field. It was created by OpenGVLab and last updated on December 4, 2023. The dataset is positioned as a foundational resource for the medical imaging community, analogous to ImageNet for natural images.
FAIR1M is a dataset of 15,000 high-resolution (0.3-0.8 meter) RGB satellite images for fine-grained object detection. The images were taken by Gaogen (GF) satellites and extracted from Google Earth, and are annotated with rotated bounding boxes for objects in 5 categories. The dataset was uploaded by author 'blanchon' to Hugging Face and was last updated on December 6, 2023.
Imagenet Vidvrd is a video dataset for visual relationship detection, derived from the ImageNet-VidVRD benchmark. The dataset was uploaded to HuggingFace by user 'shangxd' in January 2024. It contains video sequences annotated for object interactions and spatio-temporal relationships.
Open Brand contains over 250,000 product brand-value annotations across eight Amazon product profile categories. Released by kassemsabeh in early 2024, the dataset focuses on attribute-value extraction and named entity recognition within the e-commerce domain.
A dataset for evaluating conditional image generation models, part of the ImagenHub project. The dataset was created by the authors of the ImagenHub paper and was last updated on November 27, 2023. It likely contains pairs of images and text instructions for editing tasks.
10,000 hand-object interaction sequences across 100 object categories featuring affordance-driven hand poses. The dataset includes 3D hand meshes, object models, and contact maps representing functional hand-object interactions.
Replication data for a study on identity, design, and emotions during radical organizational change. The dataset was authored by Janina Klein and last updated on December 25, 2023. Its specific size, row count, and column structure are not detailed in the available metadata.
CelebA-HQ-256x256 is a dataset of high-resolution celebrity face images. The dataset is derived from the original CelebA dataset and processed to 256x256 pixel resolution, as referenced in a 2017 paper on progressive GANs. It was uploaded to Hugging Face by user 'korexyz' and last updated in December 2023.
U.S. Department of the Treasury data summarizes the total outstanding public debt at the end of each fiscal year. The series covers over 230 years, from 1789 to the present, with fiscal year start dates changing in 1842 and 1977. It provides a high-level annual summary without a breakdown of debt components.
A text dataset compiled by PrevenIA on 2023-11-13, extracting frequently asked questions and information about suicide from clinical guidelines and public health documents. The dataset sources include materials from the World Health Organization, the U.S. National Institute of Mental Health, and Spain's Ministry of Health. It is intended to serve as a gold-standard reference for questions related to suicide.
This high-resolution dataset features annotated imagery categorized for object detection and pedestrian detection as presented in the IEEE TIP 2020 publication. It provides high-definition visual data specifically formatted for identifying diverse objects and human figures in complex scenes.