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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,074 datasets
Published on Kaggle, this dataset likely contains resources related to lightweight YOLO (You Only Look Once) object detection models optimized for mobile deployment. The specific contents, such as model weights, configuration files, or training data, require verification after download. Details on the author, organization, and data volume are not provided in the available metadata.
PV_yolo is a dataset hosted on Kaggle, likely containing images for training object detection models. The dataset's specific content, such as the number of images or annotation types, is not detailed in the available metadata. Its title suggests a focus on photovoltaic (solar panel) detection using the YOLO (You Only Look Once) framework.
ESRGAN for UAV Enhancement is a dataset hosted on Kaggle. The title suggests it contains imagery related to Unmanned Aerial Vehicles (UAVs). The dataset likely contains images intended for enhancement using ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks) techniques.
MC-OCR likely contains images and text for optical character recognition tasks. The dataset is hosted on Kaggle, a popular platform for machine learning datasets. Its specific content, size, and origin are unknown from the provided metadata.
tf_efficientnet_b1.ns_jft_in1k is a dataset published on Kaggle. The title suggests it contains weights for an EfficientNet neural network model, likely trained on the ImageNet-1k dataset. The dataset's specific content, such as the number of parameters or training details, requires verification after download.
Face recognition data published on Kaggle. The dataset likely contains images of faces for computer vision tasks. Specific details on volume, source, and collection date are unavailable from the provided metadata.
A pre-trained model file for the EfficientNetB5 architecture, published on Kaggle. The file contains learned weights for image classification tasks, likely trained on a large-scale image dataset. Specific details regarding the training data, author, and update date are not provided in the metadata.
The National Statistics Postcode Lookup (NSPL) dataset relates current UK postcodes to current statutory administrative, electoral, health, and other statistical geographies. It uses a 'best-fit' allocation from 2021 Census output areas to support the production of area-based statistics from postcoded data. The dataset is produced by ONS Geography and is published by the London Borough of Camden.
Hawaiian monk seal handling records collected by NOAA personnel and cooperating scientists since 1981, with some historical data extending back to 1967. The data includes measurements from live seals during tagging, health screening, and other events, as well as measurements from dead seals during necropsy. It is part of the ongoing population assessment and recovery efforts for this protected species.
Invoice images have been processed through optical character recognition (OCR) to generate multiple output formats. The dataset includes the original images alongside extracted markdown and structured JSON representations. The specific source, volume, and creation date of the invoices are not provided in the available metadata.
Artwork Features and AI Interaction Data for Creative Vision Systems. The dataset is hosted on Kaggle, but specific details about its size, creation date, and authorship are not provided. Its content suggests it is designed for training and evaluating AI systems in the creative domain.
8,000 lines of text data, likely the output of an Optical Character Recognition (OCR) process applied to historical documents from the Ottoman period. The dataset was uploaded by user 'asparius' to the Hugging Face platform and was last updated on April 14, 2026. Its specific source documents and OCR methodology are not detailed in the provided metadata.
YOLO26 is a dataset for object detection tasks, likely containing images and bounding box annotations. It is hosted on Kaggle, but its specific contents, size, and origin are not detailed in the available metadata. The dataset's recency, scale, and creation details require verification after download.
Kaggle hosts a dataset related to the YOLO (You Only Look Once) object detection framework. The dataset's specific content, size, and origin are not detailed in the available metadata. It is published on the Kaggle platform, but the author, organization, and last update date are unknown.
Registration contacts for organizations or individuals listed on New York City Multiple Dwelling Registration forms. The City of New York's Department of Housing Preservation and Development maintains this data, which was last updated on March 8, 2026. Data is available in multiple formats including XML, RDF, JSON, and CSV.
Projected-GAN-DF-Checkpoint is a dataset published on Kaggle. The dataset likely contains a model checkpoint for a Generative Adversarial Network (GAN) architecture. Its specific content, size, and creation details are not provided in the available metadata.
ocr_region_crops_wrong_aug is a dataset published on Kaggle. The title suggests it contains images related to crops and optical character recognition, possibly augmented for machine learning. The dataset's specific contents, size, and origin are not detailed in the provided metadata.
NYC DOT Art collaborates with community-based organizations to commission artists for temporary art installations on city property. The dataset is provided by the City of New York and was last updated on March 8, 2026. Data is available in multiple formats including XML, RDF, JSON, and CSV.
A computer vision dataset named TuSimpleYOLO, hosted on Kaggle. The dataset title suggests a focus on object detection, likely for autonomous driving applications, using the YOLO (You Only Look Once) framework. Specifics regarding size, content, and creation details are unavailable from the provided metadata.
A selection of images and animations explaining the 2004 Indian Ocean tsunami, revised and released by Geoscience Australia for the disaster's tenth anniversary. This collection updates previously released resources and includes content in HTML, PDF, and MP4 formats.