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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,389 datasets
Norfolk, Virginia's Division of Neighborhood Quality provides data on code enforcement cases, including associated inspections and violations. The dataset tracks the workflow from complaint creation through inspection and violation status. It was last updated on April 3, 2026.
MedVidU_ECCV2026_TrainVal is a public training and validation split for the MedVidU Challenge at the ECCV 2026 Workshop on Medical Video Understanding. The split is derived from the benchmark introduced in the MedGRPO paper presented at CVPR 2026. It was authored by UII-AI and last updated on May 14, 2026.
A classification report for the EfficientNetV2L model's performance on a test set. The dataset is a 5.5 KB Excel file authored by Ummer Shakeel and last updated on May 7,我们发现了一个问题，这个日期是未来的日期，这可能是输入错误。 2026. The data is licensed under CC-BY-4.0 and hosted on figshare.
ResNet152V2 Model Classification Report on Test Set is a 5.5 KB Excel file containing the classification performance metrics for a ResNet152V2 model on a test set. The dataset was authored by Ummer Shakeel and last updated on May 7, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Replication data for a study on religious regulation and democratic legitimacy among religious minorities. The merged data is derived from the Religion and State Project, Round 3 (2019) and the World Values Survey, All Rounds (2020). The dataset was last updated on 2026-05-20.
Hyeon Gyu Cho's dataset on figshare compares causative organisms of exit-site infection according to pet ownership status. The dataset is a 13.5 KB XLS file last updated on May 7, 2026. Column-level details and row count are not provided in the metadata.
13.5 KB of tabular data in XLS format, authored by Hyeon Gyu Cho and published under a CC-BY-4.0 license. The dataset compares causative organisms of peritonitis based on pet ownership status and was last updated on May 7, 2026.
Activity Project Area NEPA polygons represent areas where U.S. Forest Service activities related to fire, fuels, silviculture, and invasive species are aggregated. The data originates from the agency's standard Forest Activity Tracking System (FACTS) and is intended for national information requests and cross-unit analysis. The dataset is published by the Department of Agriculture and was last updated on March 13, 2026.
Activity Project Area Timber Sale represents polygon areas where timber sale activities are aggregated, sourced from the Forest Service's Natural Resource Manager (NRM) Forest Activity Tracking System (FACTS). The dataset is a central source for project area boundaries for national information requests and cross-unit analysis, with public access during project planning and implementation. The data is not complete, and forests continue to improve its quality over time.
U.S. Forest Service data representing polygon boundaries for Sale Area Improvement (SAI) project areas. The data originates from the agency's standard Forest Activity Tracking System (FACTS), which manages information on activities related to fire, fuels, silviculture, and invasive species. It serves as a central source for national information requests and cross-unit analysis, with public access provided during project planning and implementation.
35,000 square miles of the Cairns-Townsville Hinterland in North Queensland were mapped from 1956 to 1959. The data describes a Precambrian shield and a Palaeozoic geosyncline containing up to 40,000 feet of sediments, intruded by 20,000 square miles of acid and 5,000 square miles of basic and ultrabasic igneous rocks. This historical geological survey was aggregated by the Australian Ocean Data Network.
A series of geophysical traverses and sediment cores collected by the research vessel Atlantis II provide information on sedimentary and tectonic processes in the Argo Abyssal Plain. The dataset includes isopach maps of sediment thickness, evidence of probable diapirs, and a diverse collection of core samples such as siliceous clays, calcareous oozes, and manganese nodules. Data was aggregated by the Australian Ocean Data Network and last updated in April 2026.
NCCOS mapping data provides lakebed maps and associated geospatial data for the proposed Wisconsin - Lake Michigan National Marine Sanctuary. The dataset contains remotely sensed imagery like LiDAR and multibeam bathymetry, backscatter, sidescan sonar, underwater photos, and videos. It was produced by a partnership between NOAA's National Centers for Coastal Ocean Science, the Office of National Marine Sanctuaries, and the Great Lakes Environmental Research Laboratory, with original data collected from 2017 to 2018 and assessments continuing through 2020.
DMGDATA is a three-class image dataset for object detection, consisting of guns, rifles, and persons carrying firearms. It contains 18,231 images labeled in the YOLO format and was authored by ayse berika varol malkocoglu. The dataset is scheduled for release on figshare after the associated paper is published.
Experimental results from a study proposing a reinforcement learning and steganography feature extraction framework for ESG accounting. The findings, authored by Peng Hou, demonstrate performance on three real-world ESG-related datasets, achieving a 4.7% average AUC improvement and 12.5% reduction in feature redundancy.
A 1993 marine seismic survey acquired at least 3000 km of high-quality data to determine the deep crustal structure of the southern North West Shelf. The Australian Geological Survey Organisation (AGSO) conducted this third survey in a multi-cruise program, tying it to principal exploration wells and previous regional surveys. Recording parameters included a 4800 m streamer and a 49-litre airgun source, with data showing reflections down to 12 seconds two-way time.
25 wells in the Georgina Basin provide HyLogging, wireline log, and biostratigraphic data, reprocessed for internal consistency. The dataset, released by Geoscience Australia's Onshore Energy Systems Group, integrates total organic carbon (TOC) and X-ray diffraction (XRD) measurements to characterize potential hydrocarbon source rocks. It focuses on the southern depocentres of this 325,000 km2 Neoproterozoic to Lower Devonian basin.
Geoscience Australia conducted marine surveys in Jervis Bay, New South Wales, in 2007, 2008, and 2009. The dataset is a sample/species matrix of infaunal taxa derived from Van Veen grab samples taken on the HMS Kimbla surveys GA0312 and GA0315. Data and samples were acquired using the Defence Science and Technology Organisation (DSTO) Research Vessel Kimbla.
The Marine Samples Collection consists of seabed samples gathered by Geoscience Australia and other organizations since the 1950s. Samples include shallow cores, dredged rocks, and sediments collected by grab and dredge methods. A large proportion of the samples are refrigerated.
The Access to Information and Protection of Privacy (ATIPP) Act section 68 and ATIPP Regulation section 18 establish requirements for handling confidential information from other governments. This guidance document from the Government of Yukon outlines the procedure for accepting such information from domestic, foreign, municipal, and First Nation governments. The document was last updated on April 2, 2026.