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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,085 datasets
Temperature data has been collected since 2001 from the Riscos Tumbledown Permafrost Monitoring Station on James Ross Island. The station measures air temperature, soil temperature, and basement temperature to a depth of 2 meters. The dataset is provided by the organization SCIOPS via NASA's Earthdata platform.
Over 25 years of continuous temperature data has been collected from the Lachman Costa permafrost monitoring station on James Ross Island. The dataset records air, soil, and subsurface basement temperatures up to 2.5 meters deep. It was gathered by the SCIOPS organization, with measurements beginning in 1995.
Temperature time-series data recorded by an automatic monitoring station on James Ross Island. The station, operated by SCIOPS, has collected measurements of air, soil, and basement temperatures in an active permafrost zone since 1995. Data is collected from the 'Riscos Rink' site at an elevation of 450 meters.
Salem Sound Coastwatch, a nonprofit coastal watershed association, collects data on beach and stream environmental quality. The program involves collaboration with government agencies, businesses, and citizens from six Massachusetts communities. Data supports cooperative action to protect and enhance the Salem Sound Watershed.
Panchromatic satellite images were captured by the Cartosat-1 (IRS-P5) satellite's stereo cameras. The Indian Space Research Organisation built and launched the satellite for Earth observation services. The dataset covers Europe in a stereographic projection.
Cartosat-1 (IRS-P5) satellite imagery provides high-resolution panchromatic data collected over Europe. The Indian Space Research Organisation built and launched the satellite, which features two cameras designed for stereo viewing, though this specific collection is monoscopic. The exact temporal coverage and volume of images are not specified.
A dataset published on Kaggle, likely containing images and annotations formatted for training YOLO (You Only Look Once) object detection models. The specific content, size, and origin are unverified due to minimal metadata. Users should inspect the data after download to confirm its suitability for their tasks.
SurfaceBench is a collection of symbolic regression problems focused on 3D surface modeling, created by ishobhnik and last updated in March 2026. The dataset includes 15 different categories of surface types, each with multiple instances. It is structured in HDF5 format and serves as a diverse benchmark for algorithm testing.
A dataset of images for object detection in real-world traffic road scenes. The dataset was uploaded to Kaggle, but its author, organization, and specific collection details are unknown. Its size, row count, and last update date are also unknown.
A checkpoint file for a BERT model trained on Chinese text, likely for tasks like named entity recognition or text classification. The title suggests it is part of a training sequence ('stage0_e1_30_v12') and may be associated with the GuwenBert project. It is hosted on Kaggle, a platform for sharing datasets and machine learning artifacts.
A dataset titled 'pesi-yolo-interrotti' published on Kaggle. The title suggests it is likely an image dataset for object detection tasks, possibly using the YOLO framework. No further metadata is available to confirm its size, source, or specific content.
CNN dataset 7 classes is a collection of images hosted on Kaggle. The title suggests it is designed for image classification tasks across seven distinct categories. The dataset's creator, size, and specific contents are not detailed in the provided metadata.
A dataset of model weights for a convolutional neural network, published on Kaggle. The dataset likely contains parameters for a neural network architecture, potentially for image classification tasks. Specific details on the model's architecture, training data, and performance are not provided in the available metadata.
Experimental data from a computer vision experiment, published on Kaggle. The dataset's specific content, size, and creation details are not provided in the metadata. Its nature is inferred from the platform tags and title.
Uniocr.Bench contains between 10,000 and 100,000 images designed to evaluate OCR performance across diverse writing systems, released by cis-lmu in 2026. It utilizes text from the GlotLID repository to cover languages including Arabic, Chinese, Hindi, and Japanese.
Hybrid Solar Tracking Sky Image Dataset is a collection of sky images curated for research in hybrid solar tracking systems. The dataset's author, organization, size, and temporal coverage are unknown. It is hosted on the Kaggle platform.
2026 data from the UK Environment Agency models the worst-case flood extents for large raised reservoirs in a 'wet day' failure scenario. The dataset represents a credible worst-case prediction, though it excludes smaller reservoirs and those commissioned after October 2016. It provides no indication of the likelihood or probability of such flooding occurring.
Flood extents for all large raised reservoirs in Great Britain, modeling a worst-case failure scenario on a 'dry day' with normal river levels. The data, produced by the Environment Agency, represents a credible but unlikely maximum flood prediction and excludes smaller reservoirs and those commissioned after October 2016.
Separate packages for each large raised reservoir show predicted flood extents for two credible worst-case scenarios: a 'dry-day' and a 'wet-day' release. The data, produced by the Environment Agency, models flood extents from reservoir failure under different local river conditions. It excludes smaller reservoirs and those commissioned after the modeling program began in October 2016.
A collection of corporate profiles, industries, and organizational data. The dataset is hosted on Kaggle, but specific details about its size, origin, and creation date are not provided. Further inspection of the data files is required to determine its full scope and structure.