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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,095 datasets
Kaggle hosts the FUnIE-GAN-updated-dataset. The dataset likely contains images for training and evaluating generative adversarial networks designed for underwater image enhancement. The specific number of images, collection method, and temporal coverage are unknown from the provided metadata.
A dataset hosted on Kaggle, likely containing images for classification tasks. The title suggests it may be related to object detection or feature recognition using a ResNet50 architecture. The author, organization, and specific content details are unknown.
A dataset titled 'cnn_arxiv_mediasum-qwen3-1.7b-epoch50-lr0.1-val1' published on Kaggle. The title suggests it may be related to training a language model, potentially using content from CNN, arXiv, and Mediasum. The dataset's specific content, size, and creation details are unknown.
A dataset titled 'Organ Agents Stage I Full v1' published on Kaggle. The title suggests it contains medical image data, likely related to organ analysis or agent-based modeling. Metadata is minimal; the actual content, scale, and authorship require verification after download.
cnn_arxiv_mediasum-qwen3-1.7b-epoch40-lr0.1-val64 is a dataset published on Kaggle. The title suggests it contains outputs from a Qwen language model trained for summarization tasks. The specific content, scale, and origin require verification after download.
EA_S4_YOLO26_120 is a dataset published on Kaggle. The title suggests a focus on object detection, likely using the YOLO (You Only Look Once) model architecture. Specific details regarding its size, origin, and creation date are unavailable from the provided metadata.
EA_S2_YOLO26_120 is a dataset hosted on Kaggle, likely containing annotated satellite imagery for object detection tasks. Its title suggests a focus on computer vision, potentially using the YOLO object detection framework. The dataset's specific content, scale, and origin are not detailed in the available metadata.
EA_S1_YOLO26_120 is a computer vision dataset published on Kaggle. The title suggests it is formatted for training YOLO object detection models, likely containing annotated images. Its specific content and scale require verification after download.
Electric supply rates for business customers offered by the New York Power Authority are detailed by NYISO Zone, Customer Type, and program. The dataset tracks rates from 2012 onward, published by data.ny.gov. It includes columns for Energy Rate, Demand Rate, Composite Rate, and Load Factor.
Filtered COCO 2017 person split provides a specialized subset for human detection tasks. The dataset includes trained model weights for YOLOv8, Faster R-CNN, and HOG+SVM architectures. It is hosted on Kaggle, but details on the original author, license, and dataset size are not provided.
A dataset likely containing images annotated for object detection tasks. It is published on Kaggle and associated with platform tags for Yolo, Image, and Computer Vision. The specific content, scale, and origin are not detailed in the provided metadata.
A sample dataset for exploratory data analysis and statistical simulations. It contains employee salary information, including gross and net pay with tax deductions. The dataset is licensed under CC0-1.0, indicating it is in the public domain.
CNN weights likely contain the learned parameters from a convolutional neural network model. The dataset is published on Kaggle, but its specific origin, size, and creation details are not provided in the available metadata. The content and structure require verification after download.
A dataset titled 'cnn_arxiv_mediasum-qwen3-1.7b-epoch50-lr0.1-val8' is published on Kaggle. The title suggests it contains outputs from a Qwen language model trained for 50 epochs with a learning rate of 0.1 and a validation split of 8, likely related to news and academic paper summarization. Its specific content, size, and structure require verification after download.
OCR-LP is a dataset for optical character recognition tasks, published on Kaggle. The dataset's specific content, size, and origin are not detailed in the available metadata. Further verification after download is required to confirm its exact composition and intended application.
CNN_ArXiv_MediaSum-Qwen3-1.7B-epoch50-lr0.1-val4 is a dataset title suggesting a corpus for training or evaluating language models. The name references CNN news, arXiv academic papers, and the MediaSum dataset, likely containing text for summarization tasks. It was published on Kaggle, but detailed metadata about its size, structure, and origin is unavailable.
HAGRID-YOLO-DET4 is a dataset published on Kaggle. The title suggests it is likely for training object detection models, potentially using the YOLO architecture. No further details on size, source, or creation date are available from the provided metadata.
A dataset likely used for training the Qwen-1.7B language model, as indicated by its title. The name references CNN, ArXiv, and Mediasum, suggesting it may contain text from news articles, academic papers, and media summaries. It was published on the Kaggle platform, but specific details about its creator, size, and creation date are unknown.
Carles Boix, Michael K. Miller, and Sebastian Rosato's dataset provides a dichotomous classification of democracy for 222 countries from 1800 to 2020. This version updates the original 2007 data and includes a measure requiring a level of female suffrage. The data is maintained by Michael K. Miller of George Washington University.
1937 to 2011 data on U.S. state partisan composition, including counts and percentages of Democratic and Republican legislators, party control of legislatures and governorships, and election cycle variables. The dataset was constructed by Carl Klarner and is associated with Harvard University Press. It includes measures of party control of state institutions and variables indicating the percentage of legislators up for election and gubernatorial election years.