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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,346 datasets
A dataset bundle likely intended for training object detection models, specifically using the YOLO (You Only Look Once) framework. It is hosted on Kaggle, but its specific contents, size, and origin are not detailed in the available metadata. The 'stage1' label suggests it may be part of a multi-phase training or competition pipeline.
A dataset titled 'model_VGG2D.py' is hosted on Kaggle. The dataset's content likely relates to a VGG-style 2D convolutional neural network architecture, as suggested by the filename. No further metadata on size, columns, or origin is available.
A dataset from Kaggle containing outputs from training computer vision models. The title suggests it includes results from a YOLO26n object detection model and a SegFormer semantic segmentation model, each trained for 25 epochs. The specific data content, such as model weights, logs, or evaluation metrics, requires verification after download.
model_VGG2D is a dataset published on Kaggle, a popular platform for data science competitions. The title suggests a connection to the VGG convolutional neural network architecture, commonly used for image recognition tasks. No further metadata on size, source, or content is available.
A demonstration dataset titled 'IPPOCRATE_Demo_Dataset' published on Kaggle. The dataset's specific content, size, and origin are not detailed in the available metadata. Its title suggests a medical or healthcare theme, likely intended for demonstration purposes.
Kaggle hosts a set of YOLOv8 model weights for object detection. The dataset likely contains the trained parameters for detecting Crown-of-Thorns Starfish (COTS) in underwater imagery. Specific details on the training data, performance, and author are not provided in the available metadata.
Armin Schäfer published this social science replication dataset in 2026 via Harvard Dataverse to support the study 'Losers' Dissent: How Election Results Shape Populists’ Satisfaction with Democracy.' The data enables the reproduction of statistical findings regarding the relationship between electoral outcomes and democratic satisfaction among populist voters.
A paper providing an overview of research into the complexity and diversity of youth gangs. It discusses distinctions between youth groups and gangs, categorizes gang behaviors, and examines factors in gang formation and disintegration. The paper originates from the paperswithcode platform.
Areas degraded by mining, cultivation, and livestock in Colombia's Chocó Department are documented with coordinates and hectares. The dataset is provided by the environmental authority of Chocó via the Colombian open data portal. It was last updated in December 2025.
5,082 email threads extracted from documents released by the U.S. House Oversight Committee. The dataset has been processed with large language models to structure information including senders, recipients, timestamps, subjects, and message bodies.
DatasetGabungan is a combined dataset published on Kaggle. The title suggests it merges data from multiple origins, but the specific sources, content, and scale are not detailed in the available metadata. Its author, size, and update history are currently unknown.
YOLOv12 Best Version S3 is a dataset hosted on Kaggle, likely intended for training and benchmarking object detection models. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Users must download the dataset to verify its exact composition, annotation quality, and suitability for their tasks.
Telangana Livestock QA and Evidence Dataset is hosted on Kaggle. The dataset likely contains text-based question-answer pairs and supporting evidence related to livestock management in the Indian state of Telangana. Metadata such as column details, size, and license are currently unavailable.
A dataset published on Kaggle, likely containing images for object detection tasks. The title and platform tags suggest it is part of a series intended for training YOLO-based computer vision models. The author, organization, and specific collection details are unknown.
A dataset titled 'bujagali-kawanda-masaka-yolo-frcnn-dataset' suggests a collection of images for object detection tasks. The title references locations like Bujagali, Kawanda, and Masaka, which are likely in Uganda, and mentions the YOLO and Faster R-CNN detection frameworks. It is hosted on Kaggle, but detailed metadata such as author, size, and license are unknown.
20,000 synthetic images generated using the CARLA Simulator for semantic segmentation tasks. The dataset includes variations across different virtual maps and simulated weather conditions. The data was created using the CARLA open-source autonomous driving simulator.
Timothy Bowman authored this historical analysis on paperswithcode. The dataset likely contains textual materials examining the role of labor in U.S. democratic development from a Latin American comparative viewpoint. The specific time range and volume of data are unknown.
A historical and political science text authored by Lloyd E. Ambrosius, published on the paperswithcode platform. The work likely analyzes the intersection of American democracy, international relations, and the film 'The Birth of a Nation' during the era of President Woodrow Wilson. Its specific temporal coverage and data format are not detailed in the available metadata.
A historical text by H.P. Willmott offering a reinterpretation of World War II. The work interweaves events from the European and Far East theaters, challenging traditional perceptions of campaigns and military superiority. It places the conflict in a broader context extending from the 1919 Versailles Treaty into the latter 20th century.
Ronald Reagan authored this collection of speeches spanning the years 1961 to 1982. The dataset likely contains textual transcripts of his public addresses during this period. It is hosted on the Papers with Code platform and is classified under Political Science.