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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,394 datasets
An oil and gas industry site survey for the Gannet D semi-submersible rig, acquired under licence P013 in July and November 2009. The survey traversed block 22/21 in the UK sector.
An oil and gas industry site survey for seabed infrastructure and anchoring conditions acquired in April 2004. The survey traversed UKCS Block 21/30 and is held by the British Geological Survey (BGS).
Offering dN15, dC13, and C:N values for fungal sporocarps, white spruce, paper birch, and soil samples collected from three salmon streams in Southwest Alaska. Developed by Anne Polyakov and hosted on Harvard Dataverse, the data tracks the transfer of marine-derived nutrients into terrestrial forest ecosystems. The records include measurements from both organic and mineral soil layers alongside biological tissue samples.
49 Community Action Boards (JAC) in Bucaramanga, Colombia, list their members, roles, and contact details. The dataset covers the period from 2020 to 2023 and was published by the Colombian open data portal, datos.gov.co.
A dataset titled 'Pdf Ocr Rl Dataset' is hosted on the Hugging Face platform. It was uploaded by the user 'blazeofchi' and was last updated on March 1, 2026. The dataset's title suggests it contains data related to optical character recognition (OCR) applied to PDF documents.
Kaggle hosts the YOLO_EVM_Final dataset. The dataset's content is inferred from its title to be related to object detection, likely using the YOLO (You Only Look Once) framework. The EVM component may refer to an Event-based Vision Model or a specific application context.
Socrates Benchmark Data is a dataset published on Kaggle. The dataset's specific content, size, and creation details are not provided in the metadata. Its nature as a benchmark suggests it is likely designed for evaluating computer vision models.
Mineru-RagAnything-Example File with Mineru is a dataset hosted on Kaggle. The title suggests it is likely an example file for training or demonstrating a RAG (Retrieval-Augmented Generation) system, possibly involving multimodal data. Specific details regarding content, size, and creation are not provided in the available metadata.
A dataset for image classification tasks, sourced from the Kaggle platform. The specific subject, scale, and origin of the images are not detailed in the available metadata. Users must download the dataset to inspect its content, size, and annotations.
A collection of images likely intended for training Convolutional Neural Networks (CNNs). The dataset appears to contain five distinct categories or items, as suggested by its title. It is hosted on Kaggle, but detailed metadata such as image count, resolution, and collection method are unknown.
Labels for Image Classification is a dataset hosted on Kaggle. The dataset's title suggests it contains labels intended for training or evaluating image classification models. Further details regarding the number of images, label categories, and data collection method are unavailable from the provided metadata.
A model checkpoint for the ImageNetV1 benchmark, published on Kaggle. The dataset likely contains the weights and architecture of a pre-trained neural network for image classification tasks. Specific details on the model architecture, training parameters, and performance metrics require verification after download.
A model checkpoint likely derived from training on the ImageNetV1 dataset. The checkpoint is hosted on Kaggle, but specific details about its architecture, training parameters, and performance are not provided in the metadata. Its creation date, author, and the exact version of the ImageNet data used are unknown.
nlp4b-paddle-ocr is a dataset hosted on Kaggle. The dataset likely contains images and extracted text for optical character recognition tasks. Metadata is minimal; the actual content, scale, and origin require verification after download.
A dataset published on Kaggle under the identifier 'cnnd1_pfe_1'. The title suggests a focus on computer vision, likely for tasks such as classification or feature extraction. Specific details regarding content, size, and creation are unavailable from the provided metadata.
A dataset of images for detecting faults in photovoltaic panels, likely using the YOLO object detection framework. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Specific details on the number of images, collection dates, and creators are not provided in the available metadata.
EfficientNetV2-B0 weights published on Kaggle for computer vision tasks. The dataset likely contains the pre-trained parameters for the EfficientNetV2-B0 architecture, a convolutional neural network designed for efficient image classification. Specific details on training data, performance, and file format are not provided in the metadata.
A set of pre-trained weights for the EfficientNetV2-B0 neural network architecture. The dataset is hosted on the Kaggle platform. The specific source, training data, and version details are not provided in the available metadata.
A dataset titled 'data_yolo_detection' published on Kaggle. The dataset likely contains images for object detection tasks, as suggested by the platform tags. Specific details on volume, creation date, and authorship are not provided in the available metadata.
A ResNet model checkpoint trained on the ImageNet1K_V1 dataset. The checkpoint is hosted on Kaggle, a platform for data science and machine learning. The specific architecture and training details are implied by the title, but the exact parameters and performance metrics are not provided in the available metadata.