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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,126 datasets
VarCNN Low Data DIAT1 Features is a dataset published on Kaggle. The title suggests it contains extracted features from a computer vision model, likely for a low-data scenario. Metadata is minimal; actual content requires verification after download.
YOLOv8-weights is a dataset published on Kaggle. It likely contains the pre-trained model weights for the YOLOv8 (You Only Look Once version 8) object detection architecture. The dataset's specific contents, such as the number of weight files or the training data used, are not detailed in the provided metadata.
An annotated image dataset for object detection tasks in dental health. The dataset is formatted for use with the YOLOv8 model architecture. Its specific size, source, and creation date are not provided in the input metadata.
PNG dataset for image generation and classification tasks. The dataset is hosted on Kaggle, but its author, organization, and creation date are unknown. Details on the number of images, specific classes, and collection methodology are not provided in the description.
849 Chinese public employees provided three-wave matched survey data for this study on supervisor bottom-line mentality (BLM) and procrastination. Conducted by Qian and Chen and hosted on Harvard Dataverse, the dataset explores how bureaucratic contexts and perceived red tape moderate employee behavior.
Offering replication material for a study on scalar invariance violations in comparative democratic support data, conditionally accepted for a 2026 special issue of Public Opinion Quarterly. The data is associated with research on democratic mood and differential item functioning, particularly in a Latin American context.
A benchmark dataset for evaluating AI voice assistants in realistic automotive contexts. It contains task configurations defining user personas, instructions, and vehicle context to test an agent's ability to use control tools, handle disambiguation, and avoid hallucinations. The dataset was created by johanneskirmayr and last updated on Hugging Face in February 2026.
VGG_150 is a dataset published on Kaggle. The title suggests it is related to computer vision, potentially containing images for classification or feature extraction tasks. No further details on its size, origin, or specific content are available from the provided metadata.
The 'vehicles dataset YOLO' is a dataset hosted on Kaggle. Its title suggests it contains images of vehicles intended for training object detection models, likely using the YOLO (You Only Look Once) framework. The dataset's specific size, origin, and update date are unknown.
A dataset published on Kaggle concerning style-transfer techniques. The title references specific model architectures: AdaIN, CycleGAN, and diffusion models. The dataset likely contains images or model outputs for training or evaluating style-transfer algorithms.
Disability pay gap estimates for all employees in London and the UK, calculated as the difference in average hourly wages between non-disabled and disabled employees. This dataset is part of the Greater London Authority's measures of Economic Fairness. The data was last updated on March 25, 2026.
A collection of memorable quotes and photographs of Ronald Reagan, introduced by Nancy Reagan and with an afterword by Peggy Noonan. The edition includes 80 full-color photographs and was published to coincide with Reagan's 90th birthday in February 2001. It covers topics such as America, democracy, government, religion, diplomacy, and family.
108 video clips totaling over 10 hours of footage were recorded using a Pineye egocentric camera system. The dataset, created by Luel-ai, is organized into three categories: 8 clips for horticulture, and 50 clips each for kitchen and laundry activities. Videos are in Full HD resolution and were last updated on Hugging Face in January 2026.
The ORB Rotation Benchmark is a multi-domain dataset for evaluating document orientation detection models and their impact on Optical Character Recognition performance. It introduces controlled rotation settings including 4-class, 8-class, and 12-class orientation tasks.
Three-wave matched survey data collected from 849 public employees. The dataset examines the relationship between supervisor bottom-line mentality and civil servants' work procrastination within a context of bureaucratic red tape. It was authored by Chen Qian and published via Harvard Dataverse in April 2026.
An image dataset for object detection tasks, likely formatted for use with the YOLO (You Only Look Once) family of models. It is published on the Kaggle platform. The dataset's specific contents, size, and creation details are not provided in the available metadata.
Megan Fox is a dataset of images related to the actress and public figure, sourced from Kaggle. The dataset's specific contents, scale, and collection methodology are not detailed in the provided metadata. Further verification is required to confirm the exact nature and quality of the included images.
Sakura School Simulator is a mobile game. The dataset likely contains character or gameplay data from the simulation environment. Metadata about the dataset's size, structure, and origin is unavailable.
A dataset likely focused on object detection tasks within dark or low-light environments. The dataset is hosted on Kaggle, but its specific size, creation date, and author are unknown. Its content appears to be designed for training and evaluating computer vision models under challenging lighting conditions.
A dataset of electrocardiogram (ECG) signals, likely derived from the MIT-BIH Arrhythmia Database. The title suggests it contains 1D signals generated by a Deep Convolutional Generative Adversarial Network (DCGAN). It is hosted on the Kaggle platform, but specific details about its creation date, size, and author are not provided in the input metadata.