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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,524 datasets
World Organisation for Animal Health data is aggregated on paperswithcode. The dataset likely contains information related to animal health and veterinary medicine. Its specific content, size, and structure require verification after download.
CT scan images labeled for the presence or absence of brain stroke. The dataset is sourced from Kaggle and is intended for computer vision applications in medical diagnosis. The creator and specific collection date are not provided.
A pre-trained Convolutional Neural Network model designed for processing Gait Energy Images (GEI). The model, version 24.2, is hosted on Kaggle and is associated with gait recognition research. Specific details on training data volume, creator, and update timeline are not provided.
Encompassing images of chess pieces, intended for classification tasks. It is tagged for beginner-level use in image-based multiclass classification.
Latent space vectors for the ImageNet validation set, generated by a Variational Autoencoder (VAE). The dataset contains pre-computed embeddings for images, stored in the ArrayRecord format. It is derived from the ImageNet dataset and hosted on Kaggle.
ImageNet VAE Latents ArrayRecord provides precomputed latent space representations of the ImageNet dataset. The data is derived from a Variational Autoencoder (VAE) model trained on ImageNet images and is stored in the ArrayRecord format. Its origin is linked to the ImageNet project and the Kaggle platform.
EfficientNet B3 is a convolutional neural network architecture optimized for scaling and accuracy. The model is pre-trained on the ImageNet dataset, enabling transfer learning for various computer vision tasks. Its release by Google Research provides a ready-to-use foundation for image classification projects.
A collection of images for building a face mask classifier. It is tagged for applications in health, public safety, and Covid-19 contexts.
Data for object detection focused on personal protective equipment (PPE). It is tagged for use with computer vision models like YOLOv8 and relates to public safety and manufacturing contexts. The dataset's specific row count, column structure, and file formats are unknown.
Between 10,000 and 100,000 images and metadata comprise this benchmark for AI-generated content detection, created by Rajarshi-Roy-research in 2025. The collection pairs real-world photographs with synthetic images generated by SD21, SDXL, SD3, DALLE3, and Midjourney.
GLASS_DATASET is a collection of images for sports classification, published on Kaggle. The raw description indicates the dataset is intended for sports image classification tasks. Specific details on the number of images, classes, and collection methodology are not provided in the available metadata.
A dataset on Kaggle containing assets for the Ultralytics YOLOv5 model, likely intended for offline use. The specific contents, such as model weights, configuration files, or example images, require verification after download. The dataset is associated with the PyTorch framework and computer vision domain.
Kaggle dataset 'face recognition by krasserm' provides images for face recognition tasks. The dataset is associated with computer vision and social network applications, as indicated by its platform tags. No further details on size, origin, or update date are available.
Kaggle hosts a dataset related to CycleGAN, a framework for unpaired image-to-image translation. The dataset likely contains image pairs or collections from different domains for training generative adversarial networks. Its specific content, size, and origin require verification after download.
Replication data supports the academic paper 'Remotely Productive: The Efficacy of Remote Work for Executives' by Ran Duchin. The dataset is hosted by the Review of Financial Studies Dataverse and was last updated in January 2026. Specific details on row count, column count, and data structure are unavailable.
Version 24.5 of a pre-trained Convolutional Neural Network model for processing Gait Energy Images. The model is hosted on Kaggle and is tagged for computer vision applications. Its specific architecture, training data, and performance metrics are not detailed in the available metadata.
DHBK_HB_EMB CNN GEI 240 v24.5 is a dataset containing Gait Energy Image (GEI) features likely extracted using a Convolutional Neural Network (CNN). The dataset's name suggests it contains 240-dimensional feature embeddings derived from GEI data, versioned as 24.5. It is hosted on Kaggle and categorized under Computer Vision.
YOLO-pcb-training-runs contains data for training YOLO object detection models on printed circuit board (PCB) components. The dataset's specific size, creator, and update date are not provided in the input metadata. It is hosted on the Kaggle platform under the Computer Vision category.
10 distinct categories of vehicle images organized for multi-class classification. The collection provides visual data for transportation-related computer vision tasks across a variety of vehicle types.
A collection of human face images across multiple age categories, each paired with a chronological age label. The data enables the analysis of facial feature changes and physiological aging across different life stages.