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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,394 datasets
A model checkpoint for the ImageNet1K V1 benchmark, published on Kaggle. The checkpoint likely contains trained weights for a computer vision model designed for the ImageNet classification task. Specific details on architecture, training parameters, and performance metrics are not provided in the metadata.
Pretrained weights for the EfficientNet-B0 architecture, a convolutional neural network designed for computer vision tasks. The dataset is hosted on Kaggle and likely contains model parameters for tasks such as image classification. The original author, organization, and specific training data details are not provided in the metadata.
dhbk_hb_emb cnn gei 030 v24.9 is a dataset hosted on Kaggle. The title suggests it contains image embeddings, likely generated by a Convolutional Neural Network (CNN). The specific data content, scale, and origin are not detailed in the provided metadata.
PPOCRv5 tire character recognition is a dataset hosted on Kaggle. The dataset likely contains images of tires with characters for optical character recognition model training. Specific details on the number of images, collection method, and authorship are not provided in the available metadata.
A survey dataset from paperswithcode exploring the relationship between professional factors and audit quality. The data likely contains responses from personnel at state-owned companies in Libya, focusing on variables such as working experience, integrity, competence, and organizational commitment. It was published by Iosr Journals.
Managerial Competencies and Organizations Performance is a dataset likely containing metrics linking management skills to business outcomes. It originates from the International Journal Of Management Sciences and is hosted on the paperswithcode platform. The dataset's specific variables and scale are unknown.
Performance Measurement and Management in NonGovernmental Organizations is a dataset likely containing research papers or articles on evaluating and managing NGO operations. The dataset was published on paperswithcode by Iosr Journals. Its content likely relates to business, public relations, process management, and political science.
Finalfit is an R package authored by Ewen Harrison for creating regression results tables and plots. The package likely contains functions and example datasets for statistical modeling. Its availability on Papers with Code suggests it is intended for academic and research applications.
A dataset associated with research by C. Ronald Huff, published on paperswithcode. The data likely compares behavioral metrics between youth gang members and at-risk youths not in gangs. The specific temporal coverage, geographic scope, and data volume are not detailed in the available metadata.
Alessandro Tarozzi's research dataset examines the effects of microcredit programs in Ethiopia. The data likely contains variables for measuring economic and social outcomes before and after intervention. It is hosted on the paperswithcode platform, which aggregates resources for computational research.
A report prepared for the Commission by Professor A. J. B. Robertson. The work pays particular attention to definitions proposed by the Fachnormenausschuss Vakuumtechnik and references the Editorial Review on Nomenclature in Organic Mass Spectrometry from 1969. The dataset appears to be a document concerning standardized terminology in the field of electron impact ionization.
YOLOv8n is a dataset published on Kaggle. The dataset likely contains images and annotations for training and evaluating object detection models. Specific details on size, columns, and provenance are unavailable from the provided metadata.
Spatial data segments Colombia's primary and secondary national road network, with each segment not exceeding 10 kilometers in length. The dataset includes attributes like concession status, road priority, and urban passage indicators. It was published by datos.gov.co and last updated in December 2025.
YOLOModelV8_Basketball is a dataset for computer vision tasks, likely containing images related to basketball. It is hosted on Kaggle and includes platform tags for object detection and YOLO models. The specific number of images, annotation details, and creation date are not provided in the available metadata.
A model titled 'dhbk_hb_model cnn gei 30 v24.9' is hosted on Kaggle. The platform tags suggest it is a set of weights for a Convolutional Neural Network (CNN) likely intended for image-based tasks. Details on the model's architecture, training data, and performance are not provided in the available metadata.
A set of pre-trained model weights for the EfficientNetV2-B0 architecture. The dataset is hosted on Kaggle, but its specific source, size, and creation details are not provided in the metadata. The content likely consists of the parameters from a model trained on a large-scale image dataset.
A 3-class image dataset for classifying fruit freshness, sourced from Kaggle. The dataset's specific size, collection method, and authorship details are not provided in the metadata. Its intended application is for computer vision tasks in agricultural quality assessment.
A dataset published on Kaggle for object detection tasks. The title suggests it contains images annotated for detecting four classes of Personal Protective Equipment (PPE), likely using the YOLO (You Only Look Once) model format. The dataset's specific size, source, and creation date are unknown.
Imagenette is a curated subset of the ImageNet dataset, designed for efficient prototyping and benchmarking of image classification models. The dataset is published on Kaggle, though the specific version count, author, and update details are not provided in the available metadata. Its content likely contains labeled images across a manageable number of classes.
efficientnetv2-b0_notop.h5 is a pre-trained model file for the EfficientNetV2-B0 architecture, published on Kaggle. The dataset likely contains the learned weights for image classification tasks, with the 'notop' suffix suggesting the final classification layer has been removed for transfer learning. Specific details on the training data, size, and license are not provided in the available metadata.