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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
17,713 datasets
OSN Vinnitsa Association's directory lists enterprises and institutions under its management. The data likely contains identification codes, official websites, email addresses, telephones, and physical addresses for these entities. It was published on the eu_open_data platform by the States site of Ukraine and last updated on February 25, 2023.
Information on the organizational structure of the WMR Healthcare Department, published on the eu_open_data platform. The dataset appears to describe the structure and states of the WMD, sourced from a States site of Ukraine. It was last updated on 2023-02-25.
256x256 pixel satellite image chips with bounding box labels for floating marine debris objects. The dataset, created by MLHUB and hosted on NASA EarthData, was last updated in 2023. It focuses on debris types including plastics, algae, sargassum, wood, and other artificial items.
A directory of executive bodies, institutions, and organizations under the Ivano-Frankivsk City Council. The data likely contains contact details such as phone numbers, addresses, websites, and operational information. It was published on the States site of Ukraine and last updated on February 15, 2023.
398 images split into training (307), validation (57), and test (34) sets for object detection tasks. The dataset, created by keremberke and last updated on January 27, 2023, is annotated with labels for safety equipment and violations. It includes classes such as 'hardhat', 'safety vest', 'no-hardhat', 'person', and construction vehicles.
9,898 annotated images from the video game Valorant, split into training, validation, and test sets. The dataset, created by keremberke and hosted on Hugging Face, was last updated in January 2023. It contains bounding box labels for four object classes relevant to gameplay.
The dataset contains information about the organizational structure of the Public Communications Department of the Executive Committee of the Kropyvnytskyi City Council. It is provided by the States site of Ukraine and was last updated on February 14, 2023. The data is structured according to the staff list.
National Institute of Standards and Technology provides a portal to documented digital forensic image datasets. These datasets assist in tasks like tool testing, practitioner training, and exploring tool behavior for specific forensic scenarios. The portal includes finding aids to locate datasets by attributes like year produced, author, and artifact types.
Brovary, a district in the Kyiv region of Ukraine, maintains this directory of municipal enterprises, institutions, and organizations under its management. The dataset includes identification codes, official websites, email addresses, telephone numbers, and physical addresses. It was published by the States site of Ukraine and last updated on February 14, 2023.
A directory of enterprises, institutions, and organizations affiliated with the Bila Tserkva City Council. The set likely contains contact information such as telephone numbers, email addresses, and physical locations. It was published by the States site of Ukraine and last updated on February 14, 2023.
Keremberke's NFL Object Detection dataset contains 9,947 images split into training, validation, and test sets. The images are annotated for object detection with labels related to football helmets, including 'helmet', 'helmet-blurred', 'helmet-difficult', 'helmet-partial', and 'helmet-sideline'. The dataset was last updated on the Hugging Face platform on January 29, 2023.
Microorganisms present in algae from different locations on Byers Peninsula (ASPA 126) are cataloged to identify the origin of airborne microorganisms collected in air samples. The dataset was created by the organization SCIOPS and was last updated in February 2023.
Microorganisms from penguin feces and feathers were collected in the Byers Peninsula (ASPA 126) during 2023. The data links microbial sources to airborne samples for origin identification. The dataset was created by the organization SCIOPS and published in February 2023.
Microorganisms present in soils from different locations on Byers Peninsula (ASPA 126) are cataloged to identify the origin of airborne microorganisms collected in air samples. The dataset was collected by organization SCIOPS and last updated in February 2023.
Microorganisms present in moss samples from Byers Peninsula, Antarctica, used to identify the origin of airborne microorganisms in air samples. The dataset was published by organization SCIOPS in 2023. The specific volume of data, such as sample count or number of identified species, is not provided.
Microorganisms from microbial mats and air samples were collected on the southern beach of Byers Peninsula (ASPA 126) in 2023. The dataset links mat-based microorganisms to those found in the air to trace origins. The data was published by the SCIOPS organization in February 2023.
Microorganisms are cataloged from elephant seal feces and skin samples collected at the Byers Peninsula colony in Antarctica. The data aims to identify the origin of airborne microorganisms captured in air samples. The dataset was produced by SCIOPS and published in February 2023.
Microorganisms identified within lichen samples from Byers Peninsula, Antarctica, aim to trace the origin of airborne microbes. The dataset was collected by the SCIOPS organization and published in 2023. Specific sample counts and microbial identification methods are not detailed.
NASCENT campaign data integrates aerosol size distribution, chemical composition, and updraft velocity measurements to study droplet formation in Arctic low-level clouds. The dataset, described in a 2023 paper by Motos et al., is hosted by ENVIDAT and includes particle number size distribution from DMPSs, composition from a Tof-ACSM, and updraft data from an ultrasonic anemometer and wind lidar. It also contains cloud droplet number concentration from HOLIMO and standard meteorological parameters.
Information about the organizational structure of the Department of Social Protection of the Executive Committee of the Kyiv District Council in Poltava. The dataset was published by the States site of Ukraine and last updated on 2023-02-08 15:07:00.495309. Available file formats include EXCEL XLS and XLS XLSX.