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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,440 datasets
Argentinian skin lesion images collected for the evaluation of AI diagnostic tools in this specific population. The dataset is hosted on Kaggle and is tagged for benchmarking and computer vision tasks. Details on the collection size, specific authors, and license are not provided in the input.
A dataset published on Kaggle for testing the YOLOv1 object detection model. The specific contents, scale, and origin are not detailed in the provided metadata. Actual data characteristics require verification after download.
An official listing of neighborhoods within the municipality of Valledupar, Colombia, organized by its political-administrative districts. The dataset includes columns for neighborhood name, municipality code, district number, and department code. It was last updated on 2025-12-19 and is hosted on the Colombian open data portal.
This study investigates factors contributing to positive early career transitions for novice nurses and police officers, aiming to reduce mental overburden and attrition. It includes perspectives from both newly qualified and fully competent professionals. The dataset is associated with research on psychological safety and transition shock.
Sun7684CNN is a dataset published on Kaggle. The title suggests a focus on computer vision, likely containing images for tasks such as classification. The dataset's specific content, size, and origin are not detailed in the available metadata.
Approximately 220,000 open-access PDF documents, comprising about 6.6 million pages, from the govdocs1 dataset. The dataset was uploaded by BEE-spoke-data and last updated on December 29, 2025. It is intended to be processed with optical character recognition (OCR).
This dataset supports the reproduction of analyses and figures for a study on attribution error from the 2024 Paris Olympic Games to government approval. The data is associated with a paper published in the Japanese Journal of Political Science. The repository includes R scripts organized to mirror the paper's structure.
An edge-deployable framework for multi-scale convolutional neural networks, likely designed for computer vision tasks on resource-constrained devices. The dataset appears to be a research artifact from Kaggle, potentially containing model code, weights, or related data. Specific details on data volume, authorship, and update frequency are not provided in the available metadata.
280 visual generation tasks requiring models to interpret input images and produce annotated outputs like circling specific objects. These tasks target fundamental visual reasoning capabilities typically mastered by three-year-old children, highlighting current gaps in Multimodal Large Language Models (MLLMs).
YOLOHackathon is a dataset published on Kaggle, likely associated with a computer vision hackathon. The dataset's content and scale are unspecified in the provided metadata. Its specific purpose, size, and creator details require verification after download.
YOLOv12Med is a dataset published on Kaggle. The title suggests it is likely intended for object detection tasks in medical imaging contexts, potentially using the YOLOv12 model architecture. The dataset's specific contents, scale, and origin are not detailed in the provided metadata.
This dataset supports the reproduction of analyses and figures for a study on attribution error from the 2024 Paris Olympic Games to government approval. The data is associated with a paper published in the Japanese Journal of Political Science. The repository includes R scripts organized to mirror the paper's structure.
YOLO26RTV1 is a dataset hosted on Kaggle. The dataset's content and scale are not described in the provided metadata. Its author, organization, and creation date are unknown.
A dataset named 'yolo6vsegv1' published on Kaggle. The title suggests it is likely intended for training or benchmarking YOLOv6 segmentation models. The dataset's specific contents, scale, and origin require verification after download.
Rapidata's Bananamark dataset contains over 20,000 human preference annotations comparing banana images generated by 11 different AI models. The data was collected via the Rapidata Python API, where annotators chose which image had better bananas for various banana-themed prompts. The dataset was last updated on December 12, 2025.
A dataset titled 'yolo6vsegr1' published on Kaggle. The dataset's content and scale are unknown from the provided metadata. Its specific purpose, authorship, and temporal coverage require verification after download.
SSS images is a dataset for underwater object detection using side-scan sonar (SSS) imagery. The dataset appears to combine real and synthetically generated sonar images, as indicated by the description and platform tags. It was sourced from Kaggle, but specific details about its creator, size, and creation date are not provided.
A dataset published on Kaggle, likely containing images for training and evaluating YOLO (You Only Look Once) object detection models. The specific number of images, their source, and annotation details are unknown from the provided metadata. The author, organization, and last update date are also unspecified.
A dataset likely related to Quantum Convolutional Neural Networks (QCNNs), a hybrid of quantum computing and machine learning architectures. It was published on the Kaggle platform, but details on its size, creator, and update history are unavailable. The specific content and structure require verification after download.
Cattle population counts for Valle del Cauca, Colombia, broken down by sex and age groups. The dataset includes counts for categories such as 'Hembras 13-24 Meses' and 'Machos > 36 Meses' aggregated by municipality and year. It was published by datos.gov.co and was last updated in December 2025.