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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,305 datasets
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.
List of Illustrations, Acknowledgments, and a detailed table of contents for a historical text on the Korean War. The description includes chapter titles covering origins, course, and broader issues from 1947 to 1953. The source platform is paperswithcode, which aggregates academic and research resources.
A historical text analyzing the development of the Zionist movement in the United States from its origins in 1896 through World War II. The work, by historian Melvin I. Urofsky, examines key figures like Louis D. Brandeis and events including the Dreyfus Affair, World War I, and the Holocaust. This Bison Book edition includes a new preface by the author.
Paperswithcode hosts a text-based resource outlining major theories in human development. The description lists chapters covering biological, psychoanalytic, behavioral, social learning, and cognitive-developmental models. The author, organization, and original publication date are unknown.
Paperswithcode aggregates research on protein-solvent interactions. The dataset likely contains academic papers and code related to protein hydration, glass transition behavior, dielectric studies, and solvent effects on protein dynamics and stability. The original author, organization, and temporal coverage are unknown.
Green Sturgeon Acoustic Monitoring is a tracking database for green sturgeon tagged in Central California. The data collection began in late 2002 and is ongoing, managed by the National Oceanic and Atmospheric Administration's Southwest Fisheries Science Center. The dataset likely contains time-series location records from acoustic tags.
Membership records for countries in international organizations, sourced from the World Bank. The dataset likely contains country identifiers, organization names, and membership status or dates. The specific number of countries, organizations, and temporal coverage is unknown from the provided metadata.
A spam/ham email classification project using TF-IDF, Random Forest, and Logistic Regression. The dataset is hosted on Kaggle, but its size, origin, and update history are unspecified. The description indicates the data is intended for building a text-based classifier.
Pangan is a dataset published on Kaggle. Its title suggests it contains information related to food or agricultural commodities. The dataset's specific contents, such as column definitions and data volume, are not described in the provided metadata.
PHYSIODYN_1D_UNET_WAVEGAN_V2 is a dataset hosted on Kaggle. Its title suggests it contains physiological signal data, likely intended for use with 1D U-Net and WaveGAN architectures. The dataset's specific content, size, and origin are not detailed in the available metadata.
A collection of images likely intended for testing optical character recognition systems. The dataset is published on Kaggle. Specific details regarding the number of images, their source, and creation date are not provided in the available metadata.
GAN2D-Unnormalized-CycleFilm is a dataset hosted on Kaggle. Its title suggests it contains 2D image data potentially used for training or evaluating Generative Adversarial Networks (GANs). The dataset's specific content, size, and provenance are unknown from the provided metadata.
A dataset titled 'gan2d-normalized-cyclefilm' is hosted on Kaggle. The dataset likely contains image data processed for use with Generative Adversarial Networks, specifically related to a 'CycleFilm' method. No information is available regarding its size, creation date, author, or specific contents.
A dataset related to Generative Adversarial Networks (GANs), likely for image generation or manipulation tasks. It is hosted on the Kaggle platform, but detailed metadata such as author, creation date, and data specifics are not provided. The title suggests a focus on GANs, a core deep learning architecture for generative modeling.