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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,439 datasets
QCNN-1K appears to be a dataset related to quantum machine learning, specifically quantum convolutional neural networks. The title suggests it contains 1,000 data points generated with a fixed random seed for reproducibility in cold-start model evaluation. It was published on Kaggle, but the author and specific creation date are unknown.
An image collection focused on plant species, categorized as medicinal or non-medicinal. The dataset is hosted on Kaggle and is tagged for computer vision applications. Specific details on the number of images, collection methods, and authorship are not provided in the available metadata.
A dataset likely used for demonstrating customer churn prediction modeling. It is hosted on Kaggle and appears to be associated with a tutorial or guide on implementing churn analysis in Python. The specific content, size, and origin require verification.
Image_Classification_CNN is a dataset published on Kaggle. The dataset likely contains images intended for classification tasks using convolutional neural networks. Specific details on volume, source, and creation date are unavailable from the provided metadata.
CNN-image is a dataset hosted on Kaggle. The title suggests it contains images, likely intended for computer vision tasks. The dataset's specific content, size, and origin are unknown from the provided metadata.
A pre-trained Convolutional Neural Network model for computer vision tasks, published on Kaggle. The dataset likely contains model weights and architecture files for image analysis. The specific training data, author, and last update date are unknown.
A computer vision dataset published on Kaggle. The title suggests it may contain features or embeddings generated by a Convolutional Neural Network (CNN). Further details on the data's origin, size, and specific content are unavailable from the provided metadata.
Indian bay leaf images formatted for object detection model training. The dataset is published on Kaggle and appears to be prepared for the YOLOv8 architecture, version 3.0. Its specific size, annotation details, and creation date are not provided in the available metadata.
RFGANM_10x_Epoch45 is a pre-trained model checkpoint published on Kaggle. The title suggests it is likely a Generative Adversarial Network (GAN) model, possibly for image generation or manipulation tasks, saved at the 45th training epoch. Specific details regarding the training data, architecture, and performance metrics are not provided in the minimal metadata.
Artifacts from a YOLOv8m model run, likely related to Personal Protective Equipment (PPE) detection. The dataset is hosted on Kaggle, but its specific contents, scale, and origin are not detailed in the provided metadata. The title suggests it contains outputs or intermediate files from a computer vision training process.
audiocrop-mixed-arch-weights-v1 is a dataset of pre-trained model weights for audio processing tasks, published on Kaggle. The title suggests it contains weights for a mixed architecture model, likely intended for cropping or segmenting audio data. Specific details on the model's architecture, training data, and performance are not provided in the available metadata.
4.1 million synthetic image-text pairs target the recognition of Traditional Chinese historical documents. The dataset creator, ZihCiLin, designed it to address the limitations of existing scene text datasets, which typically contain short, horizontal text with modern characters. It was last updated on the Hugging Face platform in January 2026.
YOLO26SegXV6 is a dataset published on Kaggle. Its title suggests a focus on computer vision tasks, likely related to object detection and segmentation using a YOLO-based model architecture. The dataset's specific content, scale, and origin are not detailed in the available metadata.
An image dataset for object detection tasks, likely associated with the YOLO (You Only Look Once) model architecture. It was published on the Kaggle platform. The specific number of images, annotation details, and creation date are unknown.
Survey data from three combined polls (XII-XIV) conducted by the Democratic National Committee in 1993. The dataset captures public opinion and voter attitudes during that period. It was harvested and archived by the Roper Dataverse.
A 1993 national survey conducted by the Democratic National Committee, part of the Greenberg Collection. The dataset captures public opinion on political issues during that year. It is hosted by the Roper Harvested Dataverse.
Survey data collected by the Democratic National Committee in 1993 to gauge public opinion. The dataset is part of the Greenberg Collection, hosted by the Roper Harvested Dataverse. It was last updated in the platform's records in February 2026.
Democratic National Committee survey data from 1993 captures voter attitudes and political opinions during a key midterm period. The dataset, part of the Greenberg Collection, was harvested and preserved by the Roper Center. It provides a snapshot of public sentiment for the Democratic Party's strategic planning.
An image classification dataset for distinguishing between real and mythical horse species. It contains five distinct classes, including categories from mythology. The dataset is intended for computer vision tasks.
steveharianto's Garbage Classification Dataset contains 19,762 images of garbage items organized into 10 classes for machine learning and computer vision projects. The dataset is designed for applications in recycling and sustainable waste disposal. It was last updated on Hugging Face on 2025-12-24.