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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,037 datasets
Chlorophyll a data were collected during voyage 4 of the Aurora Australis in the 1991-1992 season. The data were gathered as part of the ASAC project 40, focusing on the role of Antarctic marine protists. The dataset is provided by the Australian Antarctic Data Centre (AU_AADC).
Chlorophyll a concentration data were collected along a World Ocean Circulation Experiment transect during the Aurora Australis voyage in October 1991. The data collection was part of the ASAC project 40, focusing on Antarctic marine protists and UV-B impacts. The dataset originates from the Australian Antarctic Data Centre.
January-February 1993 data on chlorophyll a concentrations collected by the Aurora Australis research vessel during Voyage 7. The dataset covers the Prydz Bay region in Antarctica and was created by the Australian Antarctic Data Centre as part of a project studying marine protists and UV-B impacts. Data collection concluded on February 26, 1993.
Chlorophyll a concentration data was collected during the Aurora Australis SAZ cruise in March 1998. The dataset supports research on the role of Antarctic marine protists in ecosystem dynamics and global change. Data collection was part of the Australian Antarctic Division's ASAC project 40.
Chlorophyll a concentration data was collected during the Aurora Australis Voyage 2 (ONICE) from September to November 1997. The dataset was gathered as part of the ASAC project 40, focusing on Antarctic marine protists and UV-B impact. The data provider is the Australian Antarctic Data Centre (AU_AADC).
192,000+ Odia OCR samples merged from three public sources by shantipriya, updated in February 2026. The collection integrates handwritten and digital text images to support character recognition and script analysis for the Odia language.
Bureau of Indian Affairs datasets depict tracts and parcels with Tribal ownership or allotted status, organized by Land Area Code and Tract Number. The data is compiled by the Division of Land Titles and Records from the Trust Asset and Accounting Management System (TAAMS) and is updated as mapped parcels are revised.
BIA TAAMS Mapped Tribal Parcels depict tracts and parcels with Tribal or allotted ownership, organized by Land Area Code and Tract Number. The Division of Land Titles and Records compiled the data from the Trust Asset and Accounting Management System (TAAMS). The dataset is updated as mapped parcels are updated but does not represent a complete picture of all Tribal land.
The latest cyclegan 1 is a dataset published on Kaggle. Its content likely pertains to unpaired image-to-image translation, a common application of CycleGAN models. Specific details on size, columns, and provenance are unavailable from the provided metadata.
SDR 1.0 Master Box is a harmonized dataset from the project 'Democratic Values and Protest Behavior: Data Harmonization, Measurement Comparability, and Multi-Level Modeling in Cross-National Perspective'. It consists of five linked data files containing individual-level survey data and contextual metadata. The dataset was created by Kazimierz M. Słomczyński, with a known data alert issued on August 22, 2018.
A data collection on military spending and arms transfers for 144 developed and developing countries from 1981 to 1991. It was produced by the United States Arms Control and Disarmament Agency. The data are provided in five tables covering expenditures, armed forces, trade, and deliveries by supplier and recipient.
OpenAIRE Research Graph is a large-scale metadata aggregation exported as several downloadable dumps. It contains separate files for research literature, datasets, software, other research products, organizations, data sources, and funded projects. The dump was created by Paolo Manghi of Istituto di Scienza e Tecnologie dell'Informazione 'Alessandro Faedo' and is hosted on the paperswithcode platform.
bestglm is a dataset or software package for best subset selection in generalized linear models and regression. It implements methods using information criteria or cross-validation, including the 'leaps' algorithm and complete enumeration, and also supports PCR and PLS. The work is authored by A.I. McLeod, Changjiang Xu, and Yuanhao Lai.
500 annotated toy car images formatted for YOLOv8. The dataset is intended for developing edge AI parking detection models, likely for platforms like Raspberry Pi. The author, organization, and last update date are unknown.
40 total cases of abdominal CT and MRI scans from a 2019 segmentation challenge provide ground truth masks for healthy organs. The dataset includes 20 training and 20 testing cases for both CT and MRI modalities, with MRI scans featuring T1-Dual and T2 SPIR sequences. Researchers from Dokuz Eylül University released this data to support the development of medical image segmentation algorithms.
A dataset likely containing images and annotations for training a YOLO (You Only Look Once) object detection model, specifically a version named 'PKinet-YOLO11-S'. The dataset originates from a Kaggle user and is associated with a specific training session. The specific content, scale, and creation details are not provided in the available metadata.
CHAOS provides 40 abdominal CT scans and 40 MRI scans from different patients for an organ segmentation challenge. The dataset, created by researchers from Dokuz Eylül University and published in 2019, includes 20 training and 20 testing cases for each modality. Ground truth segmentation masks are provided for the training set, with annotations for the liver in CT scans and for the liver, kidneys, and spleen in MRI scans.
Narragansett Bay zooplankton data were collected via plankton net tows from October 2001 to October 2003 by Providence College. This dataset provides a weekly time series of marine plankton observations. It is hosted by NOAA NCEI and appears on multiple government data platforms.
A survey on robust image segmentation under various degradation conditions, authored by Linwei-Chen and last updated on March 7, 2026. The dataset page is hosted on Hugging Face, but specific details on data volume, format, and structure are not provided in the available metadata.
Labor Employee Relations Management Systems 2.0 (LERMS 2.0) provides standardized and centralized data for the Division of Employee Labor Management Relations (DELMR) within the U.S. Department of Labor. The system is designed to improve the collection, management, and reporting of case-related data to fulfill annual reporting requirements. The dataset was last updated on March 7, 2026.