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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,640 datasets
A collection of images for building a face mask classifier. It is tagged for applications in health, public safety, and Covid-19 contexts.
Data for object detection focused on personal protective equipment (PPE). It is tagged for use with computer vision models like YOLOv8 and relates to public safety and manufacturing contexts. The dataset's specific row count, column structure, and file formats are unknown.
Between 10,000 and 100,000 images and metadata comprise this benchmark for AI-generated content detection, created by Rajarshi-Roy-research in 2025. The collection pairs real-world photographs with synthetic images generated by SD21, SDXL, SD3, DALLE3, and Midjourney.
GLASS_DATASET is a collection of images for sports classification, published on Kaggle. The raw description indicates the dataset is intended for sports image classification tasks. Specific details on the number of images, classes, and collection methodology are not provided in the available metadata.
A dataset on Kaggle containing assets for the Ultralytics YOLOv5 model, likely intended for offline use. The specific contents, such as model weights, configuration files, or example images, require verification after download. The dataset is associated with the PyTorch framework and computer vision domain.
Kaggle dataset 'face recognition by krasserm' provides images for face recognition tasks. The dataset is associated with computer vision and social network applications, as indicated by its platform tags. No further details on size, origin, or update date are available.
Kaggle hosts a dataset related to CycleGAN, a framework for unpaired image-to-image translation. The dataset likely contains image pairs or collections from different domains for training generative adversarial networks. Its specific content, size, and origin require verification after download.
Replication data supports the academic paper 'Remotely Productive: The Efficacy of Remote Work for Executives' by Ran Duchin. The dataset is hosted by the Review of Financial Studies Dataverse and was last updated in January 2026. Specific details on row count, column count, and data structure are unavailable.
Version 24.5 of a pre-trained Convolutional Neural Network model for processing Gait Energy Images. The model is hosted on Kaggle and is tagged for computer vision applications. Its specific architecture, training data, and performance metrics are not detailed in the available metadata.
DHBK_HB_EMB CNN GEI 240 v24.5 is a dataset containing Gait Energy Image (GEI) features likely extracted using a Convolutional Neural Network (CNN). The dataset's name suggests it contains 240-dimensional feature embeddings derived from GEI data, versioned as 24.5. It is hosted on Kaggle and categorized under Computer Vision.
YOLO-pcb-training-runs contains data for training YOLO object detection models on printed circuit board (PCB) components. The dataset's specific size, creator, and update date are not provided in the input metadata. It is hosted on the Kaggle platform under the Computer Vision category.
10 distinct categories of vehicle images organized for multi-class classification. The collection provides visual data for transportation-related computer vision tasks across a variety of vehicle types.
A collection of human face images across multiple age categories, each paired with a chronological age label. The data enables the analysis of facial feature changes and physiological aging across different life stages.
A dataset containing paired reference and target image sets, each accompanied by a text caption describing the transformation. It was created by author lrzjason and last updated on December 12, -2025. The dataset is designed for tasks involving image editing and controlled generation.
Supplemental tables and figures for a study establishing pregnancy-specific reference intervals for Thyroid-Stimulating Hormone (TSH) and Free Thyroxine (FT4). The data is derived from longitudinal observations collected from preconception through gestation. The author is Leonie T.L. Warringa.
SHIPRSIMAGENET is an image dataset published on Kaggle. The title suggests a focus on ship imagery, likely for computer vision tasks. The dataset's specific content, scale, and origin are not detailed in the provided metadata.
YOLOv11Data is a dataset published on Kaggle. The title suggests it contains images intended for training or evaluating YOLO-based object detection models. The dataset's specific contents, scale, and origin are not detailed in the available metadata.
Kaggle hosts the YOLO-26 dataset, likely for training and evaluating object detection models. The dataset's specific contents, size, and origin are not detailed in the provided metadata. Its release date and last update are unknown.
OCRNew is a dataset hosted on Kaggle, likely containing images and corresponding text for optical character recognition tasks. The dataset's specific content, size, and origin are not detailed in the provided metadata. Users must download the dataset to verify its exact composition and scope.
A dataset published on Kaggle for fine-tuning Optical Character Recognition models. The title suggests a focus on mathematical notation and text. The dataset's specific size, origin, and update date are unknown.