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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,086 datasets
A textual analysis of presidential power and leadership styles, based on Richard Neustadt's seminal work. The data likely contains qualitative assessments of decisions and events from the administrations of modern U.S. presidents. The author is Richard E. Neustadt, and the original source is the book 'Presidential Power and the Modern Presidents'.
Tesstingyolo is a dataset published on Kaggle. Its title suggests a focus on testing YOLO (You Only Look Once) object detection models. The dataset's specific content, size, and origin are not detailed in the available metadata.
ImageNet100HDF5Dataset likely contains a subset of images from the ImageNet computer vision benchmark. The dataset is stored in HDF5 format and is published on Kaggle. Its specific size, creation date, and author are unknown.
University of Pennsylvania researchers created a large-scale dataset of images paired with words in multiple languages. The dataset is doubly parallel, with words aligned to their representative images and to English translations with corresponding images. It is hosted on AWS Open Data.
COCO is a large-scale dataset for object detection, segmentation, and captioning tasks. It is part of the fast.ai datasets collection hosted by AWS for convenience and is associated with the research paper arXiv:1405.0312 [cs.CV]. The dataset's specific size, row count, and last update date are unknown.
Preliminary 6-minute air gap observations from bridges spanning navigable U.S. waterways, collected by the National Oceanic and Atmospheric Administration's Center for Operational Oceanographic Products and Services. The data is part of the National Physical Oceanographic Real-Time System (PORTS) Program and is used to ensure navigation safety, improve economic efficiency, and protect coastal resources.
Cek Point CNNSelf-Att Mix-Up is a dataset published on Kaggle. Its title suggests it contains checkpoints or outputs from a computer vision model combining Convolutional Neural Networks (CNN) and Self-Attention mechanisms, likely using the MixUp data augmentation technique. The dataset's specific content, size, and origin are not detailed in the available metadata.
exp27_sage_morgan_verify is a dataset hosted on Kaggle. The dataset's title suggests a focus on verification tasks, likely within the computer vision domain. No further metadata regarding its size, origin, or content is available.
exp28_sage_morgan_deterministic is a dataset hosted on Kaggle. The dataset's title suggests it contains results from a deterministic model experiment, likely in a computer vision context. No further metadata on its contents, size, or origin is provided.
A dataset titled 'ckp_GuwenBert_nomnaocr_stage2_aug_e30_60_v11' is hosted on Kaggle. The title suggests it is likely a Chinese-language text corpus, possibly related to training or fine-tuning a BERT model named 'GuwenBert'. No further metadata, such as author, size, or license, is provided.
Kaggle hosts the exp29_sage_morgan_deterministic_v2 dataset. The title suggests it is likely related to a computer vision experiment, possibly involving deterministic models. The dataset's author, organization, and specific contents are not detailed in the provided metadata.
MUVIM YOLO Raw is a dataset likely containing images for object detection tasks. It is hosted on Kaggle, but its specific contents, size, and creation details are not documented. The dataset's author, organization, and last update date are unknown.
COCO-YOLO likely contains annotations for the Common Objects in Context dataset formatted for the YOLO object detection framework. The dataset is hosted on Kaggle, but its specific version, size, and creator are not detailed in the provided metadata. Users should inspect the actual files after download to confirm the exact content and structure.
Annotated images of soybeans intended for training YOLO object detection models. The dataset is hosted on Kaggle, but its size, annotation specifics, and creation details are unknown. Metadata is minimal; actual content requires verification after download.
exp30_sage_morgan_10feat is a dataset published on Kaggle. The title suggests it contains experimental data with 10 features, likely for machine learning tasks. Metadata is minimal, so the specific source, collection method, and content require verification after download.
A dataset titled 'YOLO Simulador SPLIT5' is hosted on Kaggle. The title suggests it contains simulated imagery likely intended for training or benchmarking YOLO (You Only Look Once) object detection models. No further metadata, such as creator, size, or specific content details, is provided.
Amazon product data for the Indian market, sourced from a Kaggle notebook. The dataset appears to be organized and cleaned from a source notebook titled 'amazon-sa'. The original author and specific data collection method are not documented.
Marketing campaigns data from October 2019 to July 2020 sourced from Google and Facebook campaigns. The dataset was originally part of a data science internship assignment at Merkle Sokrati and includes key fields like Platform, Type, Medium, and Audience. It was uploaded to OpenML to democratize the work for others.
Lake Michigan restoration sites managed by the Great Lakes Restoration Initiative are represented as vector points in this geospatial dataset. The National Oceanic and Atmospheric Administration maintains this feature class, which is housed within the Lake Michigan 2025 Environmental Sensitivity Index Geodatabase. Full project details are available in a separate spreadsheet referenced in the atlas.
Spatial polygon data representing reptile and amphibian distributions in Lake Michigan, created by the National Oceanic and Atmospheric Administration (NOAA). This dataset is part of the Environmental Sensitivity Index (ESI) data, which characterizes coastal environments by their sensitivity to oil spills. The data includes relational tables with species-specific information on abundance, seasonality, and life history.