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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,303 datasets
This dataset, published on Kaggle, likely contains pre-trained model weights for the ECA-NFNet-L0 and EfficientNet architectures from the Timm (PyTorch Image Models) library. The specific contents, such as the number of model files or their training details, are not described in the available metadata. The dataset's author, organization, and last update date are unknown.
BiLSTM(Dask)_Smote_Gan_Result is a dataset published on Kaggle. The title suggests it contains results from a machine learning experiment involving a Bidirectional LSTM (BiLSTM) model, Dask for distributed computing, SMOTE for data balancing, and a Generative Adversarial Network (GAN). The dataset's content, scale, and authorship are unknown.
Kaggle hosts a dataset likely containing images for training or evaluating the YOLOv3 object detection model. The dataset's specific contents, size, and origin are not detailed in the provided metadata. Further details such as the number of images, annotation types, and creation date are unknown.
Gru(Dask)_Smote_Gan_Results is a dataset from Kaggle. The title suggests it contains results from applying data augmentation techniques like SMOTE and GANs to an imbalanced classification problem, likely processed using Dask. The dataset's specific content, size, and origin are not detailed in the available metadata.
A dataset for image classification tasks, likely containing images formatted for use with the YOLOv8 model architecture. It is hosted on the Kaggle platform. The specific number of images, source, and creation date are unknown from the provided metadata.
An image dataset for salient instance segmentation tasks in underwater environments. It is hosted on Kaggle and likely contains annotated images for computer vision applications. The dataset's specific size, creation details, and update history are not provided in the available metadata.
AYI-NEDJIMI provides a structured dataset covering the ISO/IEC 27001:2022 standard for Information Security Management Systems. The dataset includes the standard's clauses 4 to 10, all 93 Annex A controls organized in 4 themes, Q&A pairs, and an implementation guide. It was last updated on February 13, 2026.
The book 'Cauldron of Resistance' analyzes the political history of Southern Vietnam in the 1950s, focusing on Ngo Dinh Diem, the United States, and the rise of nationalism. It includes chapters on anticolonialism, the Sect Crisis of 1955, and the referendum to depose Bao Dai. The dataset is sourced from the paperswithcode platform and is tagged with topics including history, politics, and Vietnamese studies.
The dataset appears to be a textual analysis of the Truman Doctrine, Marshall Plan, and NATO as building blocks of the containment strategy. It is based on primary sources and argues for Truman's personal role in shaping America's post-World War II foreign policy. The dataset is sourced from the paperswithcode platform, but its specific format and size are unknown.
A historical text analysis covering U.S. foreign policy from 1938 to 1941. The content, sourced from paperswithcode, examines ideological, economic, and political shifts leading to World War II. The author and organization are unknown.
The 2010 political reform in Hong Kong was a historic compromise between Beijing authorities and Hong Kong democrats. For the first time in 20 years, Beijing delegates negotiated directly with Hong Kong democrats, with both sides making concessions. The dataset likely contains analysis of this event, sourced from paperswithcode.
Anthony Summers' biography of Richard Nixon draws on more than a thousand interviews and five years of research. It reveals a troubled figure whose criminal behavior and subversion of democracy during Watergate was the culmination of years of cynical political manipulation. The work includes new evidence about Nixon's mental state, substance use, and involvement in plots to topple foreign leaders.
CNNDetection Program is a dataset hosted on Kaggle. The dataset likely contains images for training and evaluating models designed to detect computer-generated or manipulated visual content. Its specific size, origin, and update history are not detailed in the provided metadata.
OCR biแปn xe translates to 'license plate optical character recognition'. This dataset, hosted on Kaggle, likely contains images of vehicle license plates. The specific content, scale, and origin are unconfirmed due to minimal metadata.
R. Heinrich-Ramm authored a review paper outlining guidelines for the biological monitoring of exposure to volatile organic compounds. The paper details sampling guidelines, analytical procedures, quality control systems, and international biological action values for workplace exposure. It is intended to serve as a recommendation for health professionals in occupational and environmental settings.
A dataset titled 'pt_yolo' published on Kaggle. The title suggests a focus on object detection, likely using the YOLO (You Only Look Once) model architecture. The dataset's specific content, size, and origin require verification after download.
A computer vision model for detecting keypoints on pigs. The model is designed to identify 23 anatomical points, likely for applications in animal behavior or health monitoring. It was published on Kaggle, but details about the dataset's size, source, and creation date are not provided.
A dataset titled 'yolo_8k_scaled' was published on Kaggle. The dataset likely contains images scaled for use with the YOLO (You Only Look Once) object detection model. Metadata is minimal; actual content, scale, and authorship require verification after download.
YOLO-ver is a computer vision dataset published on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Its title suggests it is intended for verification or benchmarking of YOLO-based object detection models.
tinydataset_yolostandard is a dataset published on Kaggle. Its title suggests it is a small-scale collection of images formatted for object detection tasks, likely using the YOLO (You Only Look Once) standard. The dataset's specific content, size, and origin require verification after download.