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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,345 datasets
A presentation from the EPSRC-funded ORGMEMT project on organic mixed matrix membranes for post-combustion carbon dioxide capture. The presentation was delivered at the Cranfield Biannual event on April 21, 2015, under grant number EP/M001342/1. The associated organization is the British Geological Survey (BGS).
Electron probe analyses of plagioclase macrocryst composition from the 2021 Fagradalsfjall volcanic eruption in Iceland. Data includes rim-to-core profiles designed for diffusion chronometry and secondary standard analyses across multiple analytical sessions. The dataset is associated with a forthcoming Geology article led by author Kahl.
A collection of pre-trained weights for the ResNet architecture, published on Kaggle. The dataset likely contains model parameters optimized for image classification tasks. Specific details on the training data, version, or performance metrics are not provided in the available metadata.
GoodResNet-Weights is a dataset published on Kaggle. The dataset likely contains the weight parameters for a neural network architecture, possibly a ResNet variant. The specific number of layers, parameters, or training details are not provided in the available metadata.
Resnett-weights is a dataset of model parameters published on Kaggle. The dataset likely contains the weight matrices and biases for a neural network architecture, possibly a ResNet variant. Specific details on the number of parameters, model architecture, and training data are not provided in the available metadata.
A dataset of dental images formatted for YOLO (You Only Look Once) object detection models. The dataset is published on Kaggle, but its creator, size, and specific collection details are not provided. The 'balanced' in the title suggests the data may be structured to address class imbalance, a common challenge in medical image analysis.
EfficientNet-B3 weights published on Kaggle. The dataset likely contains the pre-trained parameters for the EfficientNet-B3 convolutional neural network architecture. Specific details on the training data, version, and performance metrics are unavailable from the provided metadata.
NPZ_preprocess_CNN_LSTM is a dataset published on Kaggle. The title suggests it contains data that has been preprocessed for use with Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) architectures. The dataset's specific content, scale, and origin are not detailed in the provided metadata.
CNN_LSTM_model is a dataset published on Kaggle. The title suggests it contains files related to a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) hybrid model, likely including pre-trained weights or architecture definitions. The dataset's specific contents, size, and origin are not detailed in the provided metadata.
A set of pre-trained weights for the EfficientNet-B0 convolutional neural network architecture. The dataset is hosted on Kaggle, but the author, organization, and creation date are not specified. The specific data format, size, and number of files are unknown.
ECG Image Dataset, Version 1 is a collection of electrocardiogram images published on Kaggle. The dataset likely contains visual representations of heart activity for analysis. Specific details on the number of images, collection method, and source are not provided in the available metadata.
Land Cover - Mini Dataset is an image segmentation collection gathered from Google Earth Engine. The dataset likely contains satellite imagery annotated for land cover classification tasks. Its author, organization, and specific scale are unknown.
Image data of facial expressions intended for training artificial intelligence and machine learning models. The dataset is hosted on Kaggle, but specific details about its size, origin, and collection methodology are not provided. Further inspection of the actual files is required to assess its scope and quality.
Selfie images compiled for training artificial intelligence and machine learning models. The dataset is hosted on the Kaggle platform. Specific details regarding its size, creation date, and authorship are not provided in the available metadata.
JPMorganReport2024 is a dataset published on Kaggle. The title suggests it likely contains financial or performance data related to JPMorgan Chase & Co. for the year 2024. Specific details on columns, size, and provenance are not provided in the metadata.
A dataset likely containing audio data for songs, intended for training convolutional and recurrent neural networks. It is published on Kaggle, but the author, size, and specific contents are unknown. The dataset's creation date and last update are also unspecified.
Keypoint detection data for computer vision tasks, published on Kaggle. The dataset's specific content and scale require verification after download. Its origin and creation details are not provided in the available metadata.
EfficientNet-B2 backbone model weights published on Kaggle. The dataset likely contains the pre-trained parameters for the EfficientNet-B2 architecture, a convolutional neural network designed for image classification tasks. Its specific contents, such as the number of layers or the training data used, require verification after download.
GrazPedWri-DX is a dataset converted to the YOLOv11 object detection format. The dataset likely contains images for training and evaluating pedestrian detection models. It is published on Kaggle, but specific details on size, author, and update date are unavailable.
ParseBench is described as a document OCR benchmark for AI agents. The dataset is hosted on Kaggle and focuses on evaluating the performance of AI agents on optical character recognition tasks. Details regarding its size, creation date, and authorship are not provided in the input.