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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,073 datasets
Monthly mean inshore surface water temperature data from Windermere, a lake in northern England, spanning 67 years from 1946 to 2012. The data were collected by the Freshwater Biological Association, CEH, and its predecessor Institute of Freshwater Ecology.
Groundwater samples from three major English aquifers were analyzed for planktonic bacterial quantity, fluorescent organic matter, and nutrient concentrations. The dataset captures spatial variation across sandstone, chalk, and limestone aquifers and seasonal variation between pre-recharge (September-October 2022) and post-recharge (January-February 2023) periods. Data collection aimed to assess bacterioplankton distribution dependence on organic matter, nutrients, and local hydrogeology.
A dataset likely containing images and annotations for training object detection models using the YOLO (You Only Look Once) framework. It was published on Kaggle, but its specific contents, size, and creation details are unverified. The dataset's row count, column structure, and license are unknown.
OCR_Dataset is a collection of images likely intended for training and evaluating optical character recognition models. It is published on Kaggle, but the specific source, size, and creation details are not provided. The dataset's content and structure require verification after download.
A dataset likely containing images for object detection tasks in autonomous driving contexts. Published on Kaggle, its specific content, size, and creation details require verification after download. The title suggests it is formatted for use with the YOLO (You Only Look Once) family of object detection models.
Kaggle hosts a dataset titled 'Visual Recognition'. Its specific content, scale, and origin are unknown from the provided metadata. Columns suggest it likely contains images intended for tasks like object detection or classification.
A dataset likely containing images and annotations for training or evaluating YOLO (You Only Look Once) object detection models. It was published on Kaggle, but the specific content, size, and creation details are unknown. The dataset's last update date and author information are not provided.
Ganji SOR Research Data is a dataset published on Kaggle. Its specific content and structure are not described in the available metadata. The dataset's origin, size, and creation date are unknown.
timm/tf_efficientnet_b2.ns_jft_in1k is a set of pre-trained neural network weights published on Kaggle. The title suggests it is a TensorFlow implementation of the EfficientNet-B2 architecture, likely trained on the JFT-300M dataset and fine-tuned on ImageNet-1K. The specific data content, such as the number of parameters or exact training details, is not provided in the available metadata.
Panoptic Scene Graph (PSG) benchmark reformatted into COCO-JSON by maelic for the SGG-Benchmark framework. It contains between 10,000 and 100,000 records derived from the 2022 NeurIPS publication by Yang et al. and was utilized for the 2025 REACT paper. The data is optimized for visual relationship detection and object detection pipelines.
HomER is an open dataset of short egocentric videos depicting household tasks across multiple categories. The dataset, created by toloka, includes video recordings and descriptions. It was last updated on March 10, 2026.
Polarstern cruise PS122/1 collected meteorological observations during ship operations. Synoptic reports were issued every 3 hours, distributed via the World Meteorological Organisation network, and complied with standards from the WMO and the German Weather Service (DWD). The dataset was compiled by author Holger Schmithüsen.
145 political parties across 19 representative democracies are documented in this consolidated database of party organization, resources, and leadership. The Political Party Database (PPDB) provides key information on party structure and political participation, compiled by Thomas Poguntke of Heinrich Heine University Düsseldorf. It merges two data collection rounds covering the periods circa 2010-2013 and 2012-2016.
Jenny C. Aker of Clark University authored a paper using data from a randomized experiment in the Democratic Republic of Congo. The data compares the impacts and costs of equivalently-valued cash and voucher transfers in a humanitarian context. The study found voucher programs distorted household purchases but showed no significant differences in food consumption or well-being compared to cash.
Middle East and North Africa data on 118 ethnopolitical organizations representing 22 groups across 16 countries from 1980 to 2004. The dataset was created by Jonathan Wilkenfeld of the Center for International Environmental Law to study factors motivating radicalization and the shift from protest to violence. It is a subsidiary of the Minorities at Risk (MAR) Project.
5,987 high spatial resolution (0.3 meter) remote sensing images from Nanjing, Changzhou, and Wuhan. The dataset was created by researchers from Wuhan University and RSIDEA for the 2021 NeurIPS Datasets and Benchmarks track. It focuses on land-cover classification across urban and rural environments to advance semantic segmentation and domain adaptation tasks.
G.P. Moss of Queen Mary University of London compiled a glossary of important and widely-used stereochemical terms. It extends definitions from IUPAC Nomenclature of Organic Chemistry (1974) and includes terms from the Glossary of Terms used in Physical Organic Chemistry (1994), with additions from inorganic and macromolecular chemistry. The glossary also notes misleading terms and provides guidance on correct usage.
BESTYOLOSNARZA is a dataset published on Kaggle. Its title suggests a focus on object detection, likely for training or benchmarking YOLO (You Only Look Once) models. The dataset's specific content, size, and origin are not detailed in the provided metadata.
Binary classification CNN dataset for face vs no-face detection. The dataset is hosted on Kaggle, but the author, organization, and specific scale are unknown. Its last update date and detailed composition are not provided in the input.
A dataset likely intended for training or evaluating YOLO-based object detection models. It is published on the Kaggle platform. The specific content, scale, and origin are unknown from the provided metadata.