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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,396 datasets
A WMS service providing the urban development plan 'Stadteingang Bahnhofstraße' for the city of Böblingen. The service is hosted by the Bundesamt für Kartographie und Geodäsie and was last updated on January 19, 2026.
Kaggle hosts an image dataset titled 'signalsprint-local-yolo-223'. The dataset is likely intended for object detection tasks, as suggested by its title and platform tags referencing YOLO (You Only Look Once). Its specific content, scale, and origin require verification after download.
A dataset related to the YOLO (You Only Look Once) family of object detection models, hosted on Kaggle. The specific version, content, and scale are not detailed in the available metadata. It likely contains images and annotations for training or benchmarking object detection systems.
A dataset likely containing images annotated for object detection, sourced from Kaggle. The dataset's title and platform tags suggest it is intended for training and evaluating YOLO (You Only Look Once) models. Specific details on volume, source, and creation date are not provided in the available metadata.
YOLOvx is a dataset hosted on Kaggle, likely related to the YOLO (You Only Look Once) family of real-time object detection models. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Its platform tags suggest it contains images for computer vision tasks.
Presenting a Data Management and Sharing Plan for a research project on switchable catalysis with cation-responsive ligands. It describes the scientific data to be generated and outlines a strategy for managing and sharing project data. The plan was authored by Alexander Miller.
British Geological Survey data from experiments on rare earth element leaching from ion adsorption deposits. The dataset contains results from six soil columns for two deposit types under different starting and operational conditions. Reported measurements include volume, pH, conductivity, and molar concentrations of metals, ammonia, and Cl in eluate fractions.
British Geological Survey (BGS) Project 70/02 collected marine geophysical data in Cardigan Bay from April 18 to May 14, 1970. The survey employed a LaCoste and Romberg gravity meter, a Barringer magnetometer, and a prototype Geomechanique sparker array for seismic profiling. Data includes measurements from Decca positioning, echo sounding, and transit sonar systems.
British Geological Survey (BGS) collected geophysical data during a 1992 survey in Cardigan Bay. The survey, conducted from September 14 to 21, 1992, used gravity meters, magnetometers, and echo sounders. Technical details are documented in BGS Report WB/92/23.
Five normalized datasets for intrusion detection systems (IDS), industrial control systems (ICS), and quantum key distribution (QKD) research, each including principal component analysis (PCA) variants. The dataset's creator, size, and last update date are unknown.
A 2026-updated collection of geological reports, notebooks, interpretations, and plans for Great Britain received from external organisations by the British Geological Survey. It covers topics including hydrocarbons, geophysics, gases, oil, boreholes, coal, and mines, gathered over various time scales. The dataset's specific row count, column structure, and file formats are unknown.
GAN weights likely contain parameters for generative adversarial network models. The dataset is published on Kaggle, but its specific size, author, and creation date are unknown. Columns suggest it may include weight matrices, layer configurations, or training states.
A dataset likely containing annotated images of mushrooms for training object detection models. It is hosted on Kaggle and appears to be designed for use with the YOLOv8 framework. The specific number of images, annotation details, and source are unknown.
Kaggle hosts a dataset titled 'mushroom_contamination_detection.yolov8_aug'. The dataset likely contains annotated images for detecting contamination in mushrooms, intended for training YOLOv8 models. Details on the author, organization, size, and update date are unknown.
A Kaggle-hosted model likely derived from the BRATS (Brain Tumor Segmentation) challenge. The title suggests it is a neural network model combining VGG and Transformer architectures for medical image analysis. The specific dataset used for training or validation is unknown.
Kaggle hosts a dataset of images intended for testing convolutional neural network models for gender and age classification. The dataset's specific size, origin, and collection date are unknown. It likely contains facial images labeled for demographic attributes.
Kaggle hosts a dataset titled 'Gender_and_Age Classification_CNN_test_images_2'. The dataset likely contains images intended for testing convolutional neural network models for gender and age classification tasks. The author, organization, and specific details about the data are unknown.
EfficientNet-B2a weights are a set of pre-trained parameters for the EfficientNet-B2 architecture variant. The dataset likely contains the weights necessary for loading and using the model for tasks like image classification. It was published on Kaggle.
Accident severity detection.v5i.yolov8 is a dataset published on Kaggle. The title suggests it contains images annotated for use with the YOLOv8 object detection model. The dataset's specific content, scale, and origin require verification after download.
Yinqiwenyuan is a specialized dataset of images containing Chinese text, formatted for training YOLO object detection models. The dataset is hosted by Jilin University's Jiguang Wang Lab, with the primary download source being their official university website. Specific details on the number of images, annotation format, and creation date are not provided in the available metadata.