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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,373 datasets
A dataset titled 'The Guatemalan Military Project: A Violence Called Democracy' by author Roberto García Ferreira, published on the paperswithcode platform. The dataset's specific content, size, and structure are not detailed in the provided metadata. Its license is listed as closed.
A paper titled 'Politics in Organizations: Theory and Research Considerations' by Gerald R. Ferris, sourced from the paperswithcode platform. The dataset likely contains academic text discussing theoretical and research frameworks for studying political dynamics within organizational settings. The license is closed, and specific details on volume, format, and update history are unavailable.
SIOP provides data on training within organizations. The dataset's specific content, scale, and temporal coverage are not detailed in the available metadata. Its publication on the paperswithcode platform suggests a focus on research applications.
Harold Pashler authored the paper 'Organizing Instruction and Study to Improve Student Learning'. It is hosted on the paperswithcode platform, which aggregates research with code. The dataset likely contains the paper's text and related metadata.
Harold D. Lasswell authored this dataset on propaganda techniques. The dataset likely contains textual or coded information about propaganda methods used during the World Wars. Its specific content, size, and structure require verification after download.
A historical analysis of the connection between the Cold War and the U.S. civil rights movement, based on archival information. The work interprets post-war civil rights as a Cold War feature, arguing that international pressure facilitated key domestic reforms. The author advances scholarship by applying an international perspective to American domestic affairs.
An annotated synthetic dataset of 500 Piping and Instrumentation Diagrams (P&IDs) containing complex symbols and noise. The dataset is designed for the object detection task, focusing on symbols only. It was created by Paliwal et al. and published in 2021.
Kaggle dataset titled 'best_checkpoint_bai_4_CNN_RNN_Transformer'. The dataset likely contains performance metrics or saved states for a machine learning model combining CNN, RNN, and Transformer architectures. Its author, organization, and specific contents are unknown.
An object detection dataset focused on waste items, published on Kaggle. The dataset likely contains images annotated for waste object identification. Metadata is minimal; specifics such as size, format, and annotation details require verification after download.
SID-ProGAN dataset likely contains images for computer vision tasks. It is hosted on Kaggle, a platform for sharing datasets. The dataset's specific content, size, and creation details are unknown.
Sindhi ICU Multi-Organ + Q.Crisis Reasoning v5 is a dataset published on Kaggle. The title suggests it likely contains data related to clinical reasoning for multi-organ conditions and crisis scenarios in an Intensive Care Unit (ICU) context. Metadata is minimal; actual content requires verification after download.
HAGRID-YOLO-DET5 is a dataset hosted on Kaggle. Its title suggests it is likely designed for training and evaluating object detection models, potentially using the YOLO (You Only Look Once) architecture. The dataset's specific content, scale, and origin require verification after download.
Kaggle hosts a dataset related to the Mask R-CNN deep learning model. The dataset likely contains images and annotations for training or evaluating an instance segmentation model. Specific details about the data's size, origin, and creation date are unavailable.
Skin Cancer Detection using CNN is a dataset hosted on Kaggle. The title suggests it contains images related to skin cancer, likely intended for training convolutional neural networks. Metadata beyond the title is unavailable.
Kaggle hosts a dataset titled SKin_Cancer_CNN. The title suggests it likely contains medical images related to skin cancer, intended for training convolutional neural networks. The dataset's specific size, origin, and update date are unknown.
An aerial image dataset published on Kaggle. The dataset likely contains satellite or drone imagery pre-processed into tiles of 512 pixels. The specific source, collection date, and geographic scope are unknown.
A Kaggle dataset likely containing medical images of brain tumors annotated for segmentation tasks. The dataset appears to be designed for use with the Mask RCNN deep learning architecture. Metadata is minimal; specifics such as image count, annotation format, and source institution are unknown.
YOLO26 Solar is a dataset published on Kaggle. Its title suggests it relates to solar energy and object detection. The dataset's specific content, size, and origin are unknown.
MNIST is a classic image classification dataset of handwritten digits. The dataset description indicates it contains PNG images paired with labels. The dataset is hosted on Kaggle, but specific details on size, authorship, and license are not provided in the input.
Help document from the United States Department of Veterans Affairs, last updated in February 2026. It provides guidance for using the Socrata platform, with links to detailed documentation and support contacts. No dataset, row count, or column information is present.