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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,384 datasets
A file containing pre-trained weights for a ResNet50 neural network, likely intended for emotion recognition tasks. The model weights are hosted on Kaggle, but details about the training data, performance, or author are unknown. The specific architecture and intended application are inferred from the filename.
A dataset from Kaggle likely containing news articles paired with summaries. The title references CNN and the Daily Mail, suggesting the data originates from these news sources. The dataset is intended for machine learning tasks, though specific details like size and author are unknown.
A dataset likely containing images for fine-tuning the YOLOv8 OBB (Oriented Bounding Box) model, published on Kaggle. The specific content, scale, and creation details are not provided in the available metadata. Users must download the dataset to verify its exact composition and suitability for their tasks.
ResNet18-weights is a dataset of pre-trained model parameters for the ResNet-18 convolutional neural network architecture. The dataset is hosted on Kaggle, but its specific origin, size, and creation details are not provided in the available metadata. The weights are likely intended for transfer learning or model initialization in computer vision tasks.
Output data from an Attentional Generative Adversarial Network (AttnGAN) likely conditioned on BERT text embeddings. The dataset appears to be related to text-to-image synthesis, a subfield of generative AI. It is hosted on Kaggle, but specific details about its size, format, and creation are not provided in the metadata.
This dataset profiles a media collective composed of at least a half dozen former state-media employees, affiliates, and funding recipients. It examines how the group presents as grassroots voices while advancing narratives aligned with authoritarian government positions. The dataset is categorized under Social Sciences and Information Epidemiology.
Images for two specific items, a biscuit and a Sprite can, are provided. The dataset is intended for training a Convolutional Neural Network model. Its origin, size, and other metadata are not specified in the input.
YOLOv10n is a computer vision dataset published on Kaggle. The dataset likely contains images and annotations for training or evaluating the YOLOv10n object detection model. Specific details regarding the number of images, annotation format, and creation date are not provided in the available metadata.
Kaggle hosts this dataset titled 'PPE YOLOv8s Policy Every Session'. The dataset likely contains images for training object detection models, specifically for identifying Personal Protective Equipment (PPE). Its specific content, size, and creation details are not provided in the available metadata.
A dataset from Kaggle intended for fine-tuning large language models (LLMs). The specific content, size, and structure are not detailed in the available metadata. Its origin and creation methodology are unknown.
A dataset titled SCB01-YOLO, published on Kaggle. The title suggests it is formatted for use with the YOLO (You Only Look Once) object detection model. The dataset's specific content, size, and creation details are not provided in the available metadata.
Hydrological Dataset for Ganges Basin is a dataset hosted on Kaggle. The dataset likely contains measurements related to water flow, precipitation, or other hydrological variables for the Ganges River region. Specific details on data volume, collection methods, and authorship are not provided in the available metadata.
A dataset likely containing images or video frames annotated for object detection tasks related to safety monitoring. It is published on Kaggle, but the author, organization, and specific creation date are unknown. The dataset's size, number of rows, and detailed column structure are not specified in the available metadata.
QGAN-NAD provides 5 normalized network traffic datasets prepared for quantum machine learning baselines. The datasets are preprocessed and ready for immediate use. Details on the creator, size, and update date are not available.
2021 to 2023 models of Ediacaran organisms generated using NURBS modeling in Rhinoceros 3D. The collection includes STP files representing different fossil taxa and surfaces, designed for computer simulations of fluid flow. Models were created by the British Geological Survey under NERC Grant NE/V010859/2.
1094 kilometers of marine seismic data were collected across 11 survey lines in the Irish Sea from May to July 1968. The survey was commissioned by the British Geological Survey and acquired by Seismograph Service (England) Ltd aboard the m.v. Norbjorn, using explosive charges and Decca Main chain navigation.
HI1450 survey covers a 1239 square kilometer area in the Approaches to Cardigan Bay. The data was collected for the Maritime and Coastguard Agency's Civil Hydrography Programme from July to November 2014, adhering to IHO S44ed5 Order 1a standard. The British Geological Survey holds the samples and associated geological data.
Giving access to the replication materials for the research paper 'How Do You Identify a Good Manager?' by Weidmann et al. It contains the data and programs needed to replicate the study's tables and figures. The specific row count, column count, and data structure are not detailed in the provided input.
A high-quality image dataset focused on gauge needles. The description indicates it contains exact keypoint mapping for the needles, suggesting precise annotations for computer vision tasks. The dataset is hosted on Kaggle, but details on its size, creator, and license are not provided.
YOLOv11XXX is a dataset hosted on Kaggle. Its title suggests a focus on object detection, likely for training or benchmarking computer vision models. The dataset's specific contents, size, and origin are not detailed in the available metadata.