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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,093 datasets
A historical text by Robert C. Hilderbrand of Florida State University analyzing the Dumbarton Oaks conference of 1944. The work explains how the Allied powers prioritized national sovereignty over creating a strong international peacekeeping body, shaping the early United Nations. The dataset is sourced from the paperswithcode platform.
T2I-CoReBench-Images contains images generated from 1,080 challenging prompts designed to evaluate reasoning and composition in Text-to-Image models. Developed by researcher lioooox and documented in Arxiv 2509.03516, the collection includes between 10,000 and 100,000 total images generated by various model architectures. It specifically targets the ability of models to handle causal chains, object relations, and logical consistency.
Exp15 SAGE + Morgan FP Fusion is a dataset hosted on Kaggle. The title suggests it involves the fusion of imagery from two sources, likely SAGE and Morgan FP, which may refer to satellite or aerial platforms. The dataset's specific content, size, and creation details are not provided in the available metadata.
A dataset related to text injection attacks in recommender systems, likely containing academic or synthetic text data. It originates from a Kaggle user and is associated with the RecSys 2026 conference or a related paper. The dataset's specific content, size, and collection method are not detailed in the provided metadata.
An MRI dataset released on Kaggle. The title and naming convention suggest it contains axial magnetic resonance imaging scans. The dataset is likely formatted for use with YOLO and Keras frameworks for object detection tasks.
A model checkpoint for the YOLOv8s architecture, trained to epoch 75. The dataset is published on Kaggle and likely contains the serialized weights of a neural network for object detection tasks. Metadata is minimal; the specific training data, performance metrics, and intended use require verification after download.
White microbial mats discovered on rocks near deep-sea hydrothermal vents consist of numerous needle-like quartz crystals and surrounding spherical materials. Data originates from Dive #857 of the Shinkai 2000 submersible, conducted by the organization SCIOPS in April 1996 at the Iheya Ridge in the Okinawa Trough. The collection includes samples of deep-sea sediments and rocks from this specific expedition.
Geospatial coordinates mark sample collection sites across three distinct Antarctic water bodies: Ellis Fjord, Organic Lake, and Deep Lake. The dataset was compiled by the Australian Antarctic Data Centre, with collection years ranging from 1975 to 1989. Original records are incomplete, with the investigating scientist in 2009 unable to recall specific details of the work performed.
Point data from the U.S. Geological Survey maps the precise locations of surficial sediment samples collected for Total Organic Carbon (TOC) analysis in Long Island Sound. This geospatial layer was created to support the development of a TOC distribution map for the estuary. The data was published by the USGS in 1998 as part of Open-File Report 00-304.
Iron, manganese, and aluminium concentrations are measured in both modern surface snow and ancient ice cores from East Antarctica. Data originates from modern sites in Prydz Bay, Dumont d'Urville Sea, Ross Sea, and Princess Elizabeth Land, and ancient cores from Law Dome and Wilkes Land. This work was completed by the Australian Antarctic Data Centre as part of ASAC project 827, with data last updated in 1998.
USGS Open-File Report 00-304 provides a polygon overlay GIS layer depicting the regional distribution of Total Organic Carbon (TOC) in Long Island Sound sediments. The data represent the only regional TOC study of the area and were originally published in USGS Open-File Report 98-502. The layer was created by the USGS and disseminated in March 1998.
sortwaste-yolo is a dataset hosted on Kaggle. The title suggests it contains images for training object detection models, likely using the YOLO framework, for the task of waste sorting. No further metadata on size, source, or creation date is available.
nom-ocr is a dataset published on Kaggle. Its title suggests it contains images and text for optical character recognition tasks. The dataset's specific content, size, and origin are not detailed in the provided metadata.
YOLOv5 Coral Reef Health Detection is a dataset for training object detection models on underwater imagery. The dataset is hosted on Kaggle, but its specific size, annotation details, and creation date are not provided in the available metadata. Its content likely contains images of coral reefs with bounding box labels for health assessment.
OCR_Model55 is a dataset published on Kaggle. The title suggests it contains data related to optical character recognition, likely outputs or training data for a model. Metadata is minimal; the actual content, scale, and specific format require verification after download.
Pothole Patrol Normalized Dataset contains images of potholes. The description states the images are ready to be fed to a Mask R-CNN model. The dataset is hosted on Kaggle.
Kaggle hosts this dataset titled 'phynet.org YOLOX COCO'. The dataset likely contains images and annotations for object detection tasks, based on the COCO (Common Objects in Context) benchmark and the YOLOX model architecture. Its specific contents, size, and creation details are not provided in the available metadata.
High-Quality Annotated Dataset for Football Object Detection (YOLOv8) is a dataset for computer vision tasks. The dataset is hosted on Kaggle. Its specific size, authorship, and update date are unknown.
200 annotated images of Type 2 electric vehicle charging ports show various angles and occlusion conditions. The dataset appears designed for training object detection models, specifically using the YOLOv8 framework. Its origin and creation details are not provided.
Replication data supports the article 'Reassessing the Cultural Foundation of Democracy after the Third Wave of Democratization: Toward an Integrative Approach' published in the Japanese Journal of Political Science. The dataset was authored by Hannah Kim. It was last updated on April 2, 2026.