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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,460 datasets
A dataset and pre-trained model related to the YOLO (You Only Look Once) object detection framework, published on Kaggle. The specific content, scale, and origin are not detailed in the available metadata. Further inspection after download is required to confirm the exact data types and annotations provided.
ResNet50-pretrained is a dataset containing a pre-trained ResNet50 model for image classification, hosted on Kaggle. The model is likely trained on a large-scale image dataset such as ImageNet. Specific details on the model's exact training data, version, and architecture parameters are not provided in the minimal metadata.
Al-Talqīn contains 1,000 to 10,000 records of digitized Arabic text from a foundational 11th-century manual of Mālikī jurisprudence. Authored by Al-Qāḍī Abū Muḥammad ʿAbd al-Wahhāb and curated by the islamic-datasets organization, it transforms classical legal prose into a structured format for NLP tasks.
Transformed the ASL image dataset into csv format for faster training. The dataset is hosted on Kaggle and is categorized under Computer Vision. The original source, author, and specific scale of the data are not provided in the available metadata.
A collection of basketball action videos intended for classification and detection tasks. The dataset is hosted on Kaggle and is categorized under Computer Vision and Sports. Specific details on the number of videos, their source, and creation date are not provided in the available metadata.
A Data Management and Sharing Plan for a research project focused on enhancing mental health treatment engagement among probationers. The plan describes the scientific data to be generated and outlines a strategy for managing and sharing project data. The specific data structure, including row and column counts, is unknown.
Archived lane closure occurrences within the Texas Department of Transportation highway system from October 2019 to August 2024. The data is provided in a tabular format by the ITS Joint Program Office, with raw and processed versions organized by work zone.
Archived records of road work zones across North Carolina, organized by individual zone. The data originates from the North Carolina Department of Transportation's WZDx feed and covers a period from October 2019 to August 2024. Records include details on lane closures, event timing, and data source information.
High-resolution scanned images of ancient library manuscripts. The dataset is intended for tasks related to document restoration and script recognition. The specific source, collection size, and temporal or geographic scope are not detailed in the provided metadata.
An open dataset for multimodal action recognition, sourced from Kaggle. The dataset is designed for computer vision tasks in industrial settings. Specific details on volume, authorship, and recency are not provided in the input.
An open dataset for multimodal action recognition. The data is sourced from Kaggle and focuses on industrial environments. The author, organization, and specific data volume are unknown.
OpenMarcieB2 is an open dataset for multimodal action recognition. The dataset is hosted on Kaggle and is categorized under Computer Science. Its specific scale, authorship, and temporal coverage are not detailed in the provided metadata.
An open dataset for multimodal action recognition. The data is sourced from Kaggle and focuses on industrial settings. The author, organization, and specific data volume are unknown.
30,000 side-by-side comparison grids evaluate a noise-robust 4x facial upscaling method. The dataset appears to be a collection of visual test results for the ESRGAN (Enhanced Super-Resolution Generative Adversarial Network) model. It was sourced from Kaggle, but the author, organization, and specific creation date are unknown.
Balanced Dataset using DCGAN Final is a collection of chest X-ray images. The dataset was created using a Deep Convolutional Generative Adversarial Network (DCGAN) and other augmentation techniques to address class imbalance. The author, platform, and specific scale of the dataset are not provided.
Latents for JAX/TPU training; records store (label uint16 + latent fp16). The dataset appears to be derived from the MiniImageNet256 image dataset. The author, organization, and last update date are unknown.
Clinical neonatal image dataset with anthropometric measurements, sourced from Kaggle. The dataset is intended for computer vision applications in healthcare. Specific details on volume, origin, and recency are not provided in the available metadata.
Vision-based gait analysis data for the Timed Up and Go (TUG) test, likely containing 2D and 3D human pose keypoints. The dataset includes JH-FRAT labels, which are used for fall risk assessment. It is hosted on Kaggle and is intended for applications in healthcare and computer vision.
A dataset for evaluating nuisance novelty to expose gaps in open set recognition reliability. It is based on established computer vision datasets including ImageNet, Cars, and CUB. The dataset appears to be designed for testing the robustness of image classification models.
UTK_face_Dataset_augumented_Balanced is a ready-to-train dataset for YOLOv8. It contains images resized to 640x640 pixels and is organized into 10 balanced classes based on age and gender. The dataset's author, organization, and specific collection details are not provided in the input.