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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,346 datasets
A dataset for semantic segmentation derived from side camera views in the CARLA autonomous driving simulator. It is hosted on Kaggle, but the author, organization, and specific data volume are unknown. The dataset's purpose is likely for fine-tuning computer vision models on simulated driving scenes.
OCR-checkpoint-pbl-vintern is a dataset hosted on Kaggle. Its title suggests it contains checkpoint files for an Optical Character Recognition (OCR) model, likely from a project-based learning (PBL) or internship context. The dataset's specific content, size, and origin are not detailed in the available metadata.
Calderdale borough records of Non-Domestic Rates Completion Notices served since March 2018. The dataset includes details such as the name of the person or organization served, the date the notice was served, the completion date, the hereditament address, and the property reference (Propref). It is published by the Calderdale Metropolitan Borough Council and was last updated in March 2026.
A specialized computer vision dataset for e-waste classification and detection. The dataset is hosted on Kaggle, but its author, organization, and creation details are unknown. The number of images, file formats, and update history are not specified.
Tennis Detection 20k is a dataset for object detection in the YOLO format. It contains images annotated for tennis balls and players. The dataset's author, organization, and last update date are unknown.
CNN Datasets likely contains image data for computer vision tasks. The dataset is published on Kaggle, but specific details like size, author, and update date are unknown. Its content and structure require verification after download.
Yololendiem is a dataset published on Kaggle, likely for training and evaluating object detection models using the YOLO framework. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Further verification is required to confirm the exact number of images, annotation types, and creation details.
A set of pre-trained model weights for the YOLOv8 object detection architecture, likely enhanced with a Convolutional Block Attention Module (CBAM). The dataset is hosted on Kaggle, but specific details about the training data, performance metrics, and file formats are not provided in the metadata. Users must download the dataset to verify the exact contents and model configuration.
Model weights for a YOLOv8 object detection model enhanced with a Convolutional Block Attention Module (CBAM). The dataset is hosted on Kaggle, but its specific contents, size, and creation details are not provided in the available metadata. The author, organization, and license information are unknown.
A dataset published on Kaggle, likely containing image data for training or evaluating a CycleGAN model with a tunable U-Net architecture. The specific content, size, and origin are not detailed in the provided metadata. Metadata is minimal; actual content requires verification after download.
my-yolo-weights is a dataset of pre-trained model weights for the YOLO (You Only Look Once) object detection architecture, published on Kaggle. The dataset's specific version, training data, and performance metrics are not detailed in the available metadata. Its content and applicability must be verified after download.
CPPE Head Keypoint Dataset provides head-centric pose annotations for industrial safety helmet compliance. The dataset is hosted on Kaggle, but its author, organization, size, and last update date are unknown. It likely contains images with keypoint annotations for detecting head pose and helmet usage.
ResNet18 is a convolutional neural network architecture. The dataset likely contains the pre-trained model weights for this 18-layer deep residual network. It was published on Kaggle, but the specific author, organization, and update date are unknown.
HAGRID-YOLO is a dataset for object detection tasks. It is hosted on Kaggle, a platform for data science competitions and projects. The dataset's specific content, size, and creation details are unknown.
Poketwo CNN Scripts likely contains text-based scripts or interaction logs related to a Pokemon-themed chatbot. The dataset is hosted on Kaggle, a platform for sharing datasets for machine learning. The author, organization, and specific details about the data are unknown.
A historical account by Robert Fitzgerald explores the role of multinational enterprises from the nineteenth century to the present. The work spans two hundred years and five continents, analyzing how these businesses shaped economic development, politics, and international relations. The author uses historical lessons to question contemporary interpretations of multinationals and their global consequences.
Abuse of Power: The New Nixon Tapes is a collection of edited and annotated transcripts of Oval Office conversations recorded during the presidency of Richard Nixon. The dataset, edited by historian Stanley I. Kutler, focuses on recordings related to abuses of power, including the Watergate investigation. The content reveals details of White House activities and includes conversations with Nixon's closest advisors.
ResNet_for_hybrid is a dataset hosted on Kaggle. Its title suggests it contains data related to ResNet architectures, likely for hybrid model applications. The dataset's specific content, size, and origin are not detailed in the available metadata.
A dataset for training object detection models, likely containing images annotated for helmet detection. It is published on Kaggle, a platform for data science and machine learning projects. The dataset's specific size, collection method, and temporal coverage are not detailed in the available metadata.
Aaron Friedberg's historical analysis rethinks postwar U.S. political history by examining how anti-statist principles shaped the nation's Cold War strategy. The work draws on an array of primary and secondary sources, including newly available archival materials, to argue that constraints on federal power were a source of national strength. This volume is published on the paperswithcode platform under a closed license.