Loading...
Loading...
Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,421 datasets
A dataset of images for detecting cracks in pavement, formatted for the YOLO object detection framework. The dataset is hosted on Kaggle, but its size, creation date, and author are unspecified. The title suggests it is a second version (v2i) prepared for YOLO version 26.
Kaggle hosts a dataset titled 'pavement crack detection.v2i.yolo26'. The dataset likely contains images of pavement surfaces annotated for crack detection, formatted for use with YOLO object detection models versions 2 and 6. The specific number of images, geographic origin, and creation date are unknown from the provided metadata.
dhbk_hb_model cnn gei 255 v24.7.1 is a dataset hosted on Kaggle. The title and platform tags suggest it contains weights or parameters for a Convolutional Neural Network (CNN) model, likely for image classification tasks. The dataset's specific content, origin, and creation date are not detailed in the provided metadata.
A Kaggle-hosted dataset titled 'dhbk_hb_model cnn gei 255 v24.7.1'. The title and platform tags suggest it contains weights or parameters for a Convolutional Neural Network (CNN) model, likely for image classification tasks. The author, organization, and specific data characteristics are unknown.
datastas_autosegresnet is a dataset hosted on Kaggle, likely for computer vision tasks. The platform tags indicate it is related to image segmentation and the Autosegresnet model or architecture. Metadata is minimal; the actual content, scale, and source require verification after download.
Image embeddings likely generated by a CNN (Convolutional Neural Network) model, as indicated by the title and platform tags. The dataset is hosted on Kaggle, a platform for data science and machine learning projects. Specific details on the number of images, source, and creation date are not provided in the available metadata.
dhbk_hb_emb cnn gei 270 v24.15 is a dataset of image embeddings published on Kaggle. The platform tags suggest it contains feature vectors likely generated by a Convolutional Neural Network (CNN). The dataset's specific content, size, and creation details are not provided in the available metadata.
dhbk_hb_model cnn gei 255 v24.7 is a dataset hosted on Kaggle. The platform tags indicate it is related to images, computer vision, and convolutional neural networks (CNN). The dataset's specific content, scale, and origin are not detailed in the available metadata.
A dataset of images for detecting potholes, likely using the YOLO (You Only Look Once) object detection framework. The dataset is hosted on Kaggle and its specific content, such as the number of images or annotations, requires verification after download. The author, organization, and collection date are unknown.
A Kaggle-hosted dataset for detecting diseases in tea leaves using computer vision. The dataset likely contains annotated images of tea plants, intended for training object detection models. Specific details on volume, annotation type, and collection methodology are not provided in the minimal metadata.
Far-right Extremism as a Threat to Ukrainian Democracy is a dataset from paperswithcode. The platform tags suggest it contains content related to political science, sociology, and Ukrainian politics. Its specific content, size, and structure are not detailed in the available metadata.
Honduras is the geographic focus of this dataset, which likely documents incidents related to land seizures and repression of peasants. The dataset is published on paperswithcode, suggesting it may contain academic or research-oriented content. The specific data type, volume, and creation details are unknown.
Apocryphal literature texts aggregated from the Papers with Code platform. The dataset likely contains writings considered apocryphal, which are texts of uncertain authorship or authenticity. Its specific size, author, and last update date are unknown.
A collection of research papers from the interwar period, likely focusing on the intersection of endocrinology, mass culture, and experimental life. The dataset is hosted on Paperswithcode, a platform for academic papers with associated code. The specific number of papers, authors, and publication dates are unknown.
Artemidorus: Oneirocritica is a dataset of historical text related to dream interpretation and geology, sourced from the paperswithcode platform. The dataset likely contains textual content from the ancient work 'Oneirocritica' by Artemidorus. Its specific size, format, and detailed content are not described in the available metadata.
European and Mediterranean Plant Protection Organization data published on paperswithcode. The dataset likely contains information related to plant health, pests, or agricultural management in the European and Mediterranean region. Columns suggest it may include taxonomic, geographic, or pest-related variables.
The League of Nations dataset likely contains historical documents, treaties, and analyses related to the first experiment at world organization. It is published on the paperswithcode platform, which aggregates datasets for AI/ML practitioners. The specific content, size, and authorship details are unknown.
PapersWithCode hosts a dataset related to the founding of the North Atlantic Treaty Organization. The dataset's content likely contains text or metadata concerning the historical and political factors behind the alliance's creation. Its specific size, format, and authorship are not detailed in the provided metadata.
The Asian Productivity Organization (APO) dataset, aggregated from paperswithcode, likely contains metrics related to economic growth and productivity. The specific variables, time range, and geographic scope are not detailed in the available metadata. Its license is listed as closed, indicating potential restrictions on use.
Democratic Defense against disinformation is a dataset from the paperswithcode platform. The dataset's license is listed as closed, and its specific content, size, and structure are not detailed in the provided metadata. Its platform tags suggest a focus on the intersection of computer science, security, and political systems.