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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,390 datasets
MEST Datasets organizados is a collection of datasets published on Kaggle. The platform tags suggest it contains tabular data. The specific contents, scale, and origin of the collection are not detailed in the available metadata.
Harvard Dataverse hosts replication data for a study analyzing sources of public legitimacy for democracy promotion mechanisms by African regional organizations. The data covers public perceptions across 34 African countries, examining factors like perceived organizational usefulness and normative preference for democracy. It supports analysis of how economic outputs and national interest shape support for regional democratic instruments.
Nine representative democracies, including Austria, Germany, the UK, and others, are covered in this corpus of over 6.3 million parliamentary speeches. The data spans periods between 21 and 32 years and includes metadata on date, speaker, party, and partially agenda items. It was created by Christian Rauh of the WZB Berlin Social Science Center.
Encompassing under 1,000 images of cauliflower leaves for disease detection and classification, published by indra17 and updated in January 2026. It provides visual data in YOLO-compatible format specifically for agricultural plant pathology and computer vision applications.
28x28 QuickDraw sketches provide data for binary classification of flower versus not-flower images. The dataset is designed for training convolutional neural networks for computer vision tasks. Its origin and creation date are unknown.
ISL-AlphaNum-RealScene data provides ground truth annotations and bounding box representations for alphanumeric characters in real-world scenes. The dataset is designed for detection and recognition tasks in computer vision. Its creator and specific size are not documented.
A synthetic dataset for image classification or generation tasks. The dataset's creator, size, and update history are not specified. It is hosted on the Kaggle platform.
The dataset focuses on evaluating the business impact and organizational efficiency of AI agents. It is sourced from Kaggle, though the specific creator, time period, and data volume are not specified.
Organizational data captures AI-driven decisions, associated trust levels, and their performance impact. The dataset's specific volume, creator, and temporal coverage are not detailed in the provided information. It is hosted on the Kaggle platform.
ISIC skin lesion images are organized into separate training and testing folders for machine learning development. The dataset contains dermatoscopic images of skin lesions. The International Skin Imaging Collaboration (ISIC) is the authoritative source for this data.
A collection of labeled images for three distinct Turkish food categories: corba (soup), makarna (pasta), and donat (donut). The dataset is pre-split into training and validation subsets for machine learning workflows. Its origin, author, and creation date are not specified.
34.8 thousand cleaned TIFF-format screenshots from the game Minecraft. All images are standardized to a uniform resolution of 1280 by 580 pixels. The author, organization, and creation date are unknown.
QualityVision Walking Pose Dataset contains a sample of over 1500 high-quality image frames. The dataset is designed for human pose estimation tasks, focusing on walking poses. The author and original collection date are unknown.
A dataset published on Kaggle, likely containing model weights for a Convolutional Neural Network (CNN). The title suggests it may be version 24.7 of a model, potentially related to image analysis tasks. The author, organization, and specific data content are unknown.
A file containing pre-trained model weights for the EfficientNet-B3 architecture. The file is hosted on Kaggle, but its specific origin, training data, and performance details are not provided in the available metadata. The content and format of the data require verification after download.
A dataset of computer vision feature embeddings, likely generated by a Convolutional Neural Network (CNN). The title suggests it may involve Gait Energy Image (GEI) data, potentially for human behavior analysis. It was published on Kaggle, but the author, organization, and specific creation date are unknown.
A dataset titled 'dhbk_hb_model cnn gei 015 v24.9' is hosted on Kaggle. The title suggests it likely contains weights or parameters for a Convolutional Neural Network (CNN) model, possibly version 24.9. No further metadata such as author, size, or description is provided.
A set of Convolutional Neural Network (CNN) model weights, likely for image classification tasks. The dataset is published on Kaggle and is associated with platform tags for computer vision and model weights. Specific details about the model architecture, training data, and performance are not provided in the available metadata.
A dataset of image embeddings likely generated by a Convolutional Neural Network (CNN). The dataset is hosted on Kaggle and its title suggests it contains feature vectors for images. Specific details on the number of images, source, and creation date are not provided in the available metadata.
Shuttlecock.v1i.yolo26.zip is a dataset hosted on Kaggle. The title suggests it contains images of shuttlecocks, likely annotated for object detection tasks. Its specific content and scale require verification after download.