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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,095 datasets
Kaggle dataset focused on heart disease prediction. The description emphasizes the importance of heart health and regular checkups. The author, organization, and specific data details are unknown.
NYC Aging's current Fiscal Year contracts list services for adults aged 60+ across New York City's five boroughs. The dataset enumerates contracted providers for Older Adult Centers, Abuse Prevention, Home Care, Legal Services, NORC, Transportation, Case Management, Home Delivered Meals, and Caregiver support. It includes agency contact information for these services.
A large-scale collection of infographic images intended for training artificial intelligence models. The dataset is hosted on Kaggle, but its specific creator, license, and update history are not documented. The total number of images and their temporal or geographic coverage are unknown.
Retail price and sales data for avocados, downloaded from the Hass Avocado Board website in January 2020. The dataset includes average prices, total sales volume, and breakdowns by avocado PLU code, type (conventional or organic), year, and region. It was originally shared on Kaggle by a user named Justin.
cnn_arxiv_mediasum-qwen3-1.7b-epoch30-lr0.1-val64 is a dataset published on Kaggle. The title suggests it is likely text data, possibly related to training a language model named Qwen3-1.7B using sources like CNN, arXiv, and MediaSum. The specific content, scale, and creation details are not provided in the available metadata.
VSL400-KEYPOINTS is a dataset published on Kaggle. The title suggests it contains keypoint annotations, likely for computer vision tasks such as pose estimation. No further metadata on size, source, or content is available.
YOLO Simulador SPLIT2 is a dataset hosted on Kaggle, likely intended for training or benchmarking object detection models. The title suggests it contains simulated imagery, possibly generated to augment real-world training data. Its specific contents, scale, and creation details are not provided in the available metadata.
Published on Kaggle, this dataset appears to be a collection of images intended for use with YOLO (You Only Look Once) object detection models. The specific content, size, and origin are not detailed in the provided metadata. Its utility likely depends on the actual images and annotations contained within.
Aggregating experimental data from a study examining the effects of AI leader disclosure on follower trust and job satisfaction. The study employed an experimental vignette methodology with working adults randomly assigned to conditions.
Comprising experimental data from a study examining the effects of AI leader disclosure on follower trust and job satisfaction. The study employed an experimental vignette methodology with working adults randomly assigned to conditions.
A 1982 scientific paper by Rosser W. Garrison formally describes the damselfly species Archilestes neblina. The publication includes comparative morphological analysis and commentary on the variability of the related species A. latialatus. It was published as an Occasional Paper by the Museum of Zoology at the University of Michigan.
Geoscience Australia (formerly AGSO) produced this dataset of publication references. It contains bibliographic entries for works created between 1994 and 1997 using data from Australian Antarctic geomagnetic observatories. The dataset is part of the ASAC project 760 and was last updated in December 1997.
Maxar's Open Data Program provides analysis-ready, cloud-optimized satellite imagery for disaster events. The imagery is generated using the Maxar ARD pipeline and tiled on an organized grid. It is hosted on AWS Open Data under a CC-BY-NC-4.0 license.
14-month monitoring data from Cueva Llanio in Northern Spain includes spot measurements of drip water temperature, conductivity, pH, and chemical composition. The dataset also contains continuous logs of cave air temperature and drip rate, collected by the British Geological Survey between February 2023 and April 2024.
1,723 aerial images annotated for cow detection form this dataset, part of the Roboflow 100 benchmark. It was created by LibreYOLO and last updated on January 20, 2026. The dataset contains a single object class and is split into 1,084 training, 340 validation, and 299 test images.
A dataset of images from Unmanned Aerial Vehicles formatted for the YOLO object detection framework. The dataset is hosted on Kaggle, but its size, creation date, and authorship are unspecified. The data likely contains bounding box annotations for objects captured from an aerial perspective.
A dataset titled 'YOLO Simulador BALANCED3' hosted on Kaggle. The title suggests it is likely synthetic or simulated data intended for training or benchmarking YOLO (You Only Look Once) object detection models. No further metadata, such as author, size, or sample details, is provided.
New York Power Authority (NYPA) data details electric supply rates offered to government entities across New York State. The dataset includes rates by type, period, and service classification, with records beginning in 2012. Data is provided and maintained by the New York State government through its open data portal.
Leaf Disease Nsdsr is an object detection dataset containing 2,501 annotated images of diseased leaves. It is part of the Roboflow 100 benchmark, a collection of 100 datasets spanning 7 imagery domains, and was authored by LibreYOLO. The dataset was last updated on January 20, 2026.
Logistic Map LSB Steganalysis Dataset is a dataset hosted on Kaggle. The dataset likely contains data related to steganalysis, which is the detection of hidden information within digital files. Its specific content, scale, and authorship are not detailed in the provided metadata.