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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,095 datasets
Lührmann et al. (2018) provide a classification of political regimes based on expert estimates from the Varieties of Democracy (V-Dem) project. The dataset likely contains categorical labels distinguishing democracies and autocracies. The classification methodology relies on expert assessments rather than simple binary indicators.
2013 monthly samples from eight Welsh upland rivers with contrasting moorland and conifer land-use, examining benthic organic matter stocks. The experiment manipulated riparian deciduous leaf addition across control and treatment reaches. Data collection was organized by Dr Isabelle Durance under the NERC-funded DURESS project.
Eight Welsh upland river reaches were sampled to examine macroinvertebrate composition and abundance in response to deciduous leaf addition. The survey, conducted in January and March 2013, compared moorland and conifer forested sites at Llyn Brianne and Plynlimon. Dr Isabelle Durance organized the work under the NERC-funded DURESS project.
A collection of medical images related to Pap smear tests, likely for cytology analysis. The dataset was published by MarrLab on the Hugging Face platform and was last updated on 2026-04-14. The specific content, scale, and format require verification after download.
Model checkpoints for the BirdCLEF 2026 competition. The checkpoints likely represent trained models for bird species identification from audio recordings. They were published on Kaggle.
A dataset for applying graphical Innovative Trend Analysis and statistical methods like the Sequential Mann-Kendall test to identify trends and change points in time series data. The dataset is associated with research by Sandeep Kumar Patakamuri and references foundational works in hydrology and climatology. It is hosted on the paperswithcode platform.
Encompassing approximately 17,000 video clips organized into 9 chunks of roughly 2,000 clips each. It includes processed outputs such as cropped faces, restored faces, and final results from experiments, intended for computer vision research.
A dataset likely containing annotated images for computer vision tasks. It is published on Kaggle, but the author, organization, and last update date are unknown. The dataset's name suggests it is related to the YOLOv11 model and the COCO (Common Objects in Context) benchmark, potentially for segmentation tasks.
A dataset titled 'hagrid-yolo-det2of3' published on Kaggle. The title suggests a focus on object detection, likely using the YOLO framework. No further metadata is available to confirm its specific contents, size, or origin.
Cleaned VisDrone YOLO Dataset is a computer vision dataset published on Kaggle. The dataset title suggests it contains drone-captured imagery formatted for YOLO object detection models. Specific details on size, columns, and origin are not provided in the available metadata.
A dataset titled 'ckp_GuwenBert_nomnaocr_repair_stage1_aug_e1_30_v11' is hosted on Kaggle. The title suggests it contains Chinese text data, likely related to a BERT model checkpoint or training corpus. Metadata is minimal; the specific content, size, and origin require verification after download.
Kaggle hosts a dataset titled DogandCat. Its content likely pertains to images of dogs and cats, which suggests it is a resource for computer vision tasks. The dataset's author, organization, and specific details are unknown.
Satellite imagery data focused on almond orchards in Yolo County, California. The dataset is hosted on Kaggle, but details on collection date, resolution, and specific imagery source are not provided in the available metadata. Further verification of the actual data content is required after download.
2.3 million geo-referenced wildfire records from the United States, representing 180 million acres burned over a 29-year period. The Fire Program Analysis fire-occurrence database (FPA FOD) was compiled by Karen C. Short of the US Forest Service from federal, state, and local fire organization reports. This sixth edition of the database was published on November 1, 2022.
David F. Krugler examines the troubled existence of the Voice of America, the U.S. government's international shortwave radio agency, following World War II. The work focuses on the VOA's domestic problems between 1945 and 1953, including congressional investigations, budget cuts, and neglect by the State Department. This analysis makes an original contribution to the subject of propaganda during the early Cold War.
An image dataset intended for computer vision and deep learning research. The collection focuses on Indonesian traditional snacks. The dataset's author, organization, and specific size are unknown.
clearx-trocr-ph-best-v1 is a dataset published on Kaggle. The title suggests it is likely related to optical character recognition (OCR) and document images. Metadata is minimal; actual content and scale require verification after download.
A dataset titled 'models_cnn_gcn' is hosted on Kaggle. The title suggests it contains information or artifacts related to Convolutional Neural Networks (CNN) and Graph Convolutional Networks (GCN). Metadata such as author, size, and license are not provided.
A computer vision dataset focused on cars, likely containing images for tasks such as classification or detection. It is hosted on Kaggle, but details on its size, creation date, and authorship are not provided. The dataset's specific content and scope require verification after download.
A dataset titled 'hagrid-yolo-det1of3' published on Kaggle. The title suggests it is part of a series for object detection, likely using the YOLO (You Only Look Once) framework. The dataset's specific content, size, and origin are unknown from the provided metadata.