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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,302 datasets
This dataset supports an empirical analysis of structural inequality in the United States orchestral labor market by linking higher-education training pipelines to professional orchestra employment. It includes employer-side degree-level training records for professional musicians and processed IPEDS music degree completion data from 2011 to 2024.
OCR results likely contain text extracted from images or scanned documents. The dataset is hosted on Kaggle, but its specific volume, source, and creation date are unknown. Columns and sample data are unavailable, making the exact content and structure unclear.
Waste Segmentation Dataset (YOLO Format) is a computer vision dataset published on Kaggle. The dataset likely contains images of waste items annotated for object detection and segmentation tasks using the YOLO format. Specific details on size, source, and creation date are not provided in the available metadata.
A dataset for fine-tuning depth estimation models, likely derived from the CARLA autonomous driving simulator. The dataset appears to contain high-resolution 1080p synthetic imagery. It is hosted on Kaggle, but the author, license, and specific collection details are not provided.
A dataset of breast cancer images formatted in the COCO standard for use with the YOLOX object detection model. The dataset is hosted on Kaggle, but its specific size, creation date, and author are unknown. The title suggests it contains annotated medical images intended for computer vision tasks.
1958 vegetation classification data for the Belgian Congo and Ruanda-Urundi, published in the Bulletin de la Societe Royale Botanique de Belgique. The dataset is derived from the botanical survey work of R. Devred. It provides a historical snapshot of the region's plant communities prior to major modern land-use changes.
An image dataset containing handwritten words from prescriptions. The dataset includes three types of prescription words. The author, organization, and last update date are unknown.
A synthetic image dataset focused on industrial assets. The dataset appears to be generated for computer vision tasks, specifically featuring assets with clean surfaces. It was sourced from Kaggle, but details on the creator, size, and update date are not provided.
A synthetic image dataset focused on industrial assets. The dataset appears to be generated artificially to depict aged surfaces on industrial equipment. Metadata regarding its size, creation method, and authorship is not provided in the input.
Synthetic images of industrial assets with random surfaces. The dataset was sourced from Kaggle, but the author, organization, and creation date are unknown. The total number of images and file formats are not specified.
Medical Waste Dataset (Annotated) is a collection of high-resolution images depicting medical waste. The dataset includes bounding box annotations for 13 distinct classes of waste items. It was uploaded to Kaggle, but details about its creator, size, and update date are unknown.
A dataset of honey bee brood images, likely intended for training object detection models. The dataset is hosted on Kaggle and appears to be formatted for conversion or use with the YOLO (You Only Look Once) object detection framework. Specific details on the number of images, collection method, and origin are not provided in the available metadata.
A Kaggle-hosted collection of images intended for distinguishing authentic photographs from manipulated or synthetically generated ones. The dataset's specific composition, size, and creation methodology are not detailed in the provided metadata. Its primary purpose appears to be training and evaluating models for image authenticity verification.
A list of Street Segment and Intersection (CNN) changes maintained by the City of San Francisco. The log includes records for new, dropped, realigned, divided, and split street features. It was last updated on March 22, 2026.
209,500 open-access scientific articles from PubMed Central were rendered to images and processed with Google Cloud Vision OCR. The corpus contains approximately 1.5 million pages and 1.3 billion OCR tokens. It is released by rootsautomation in a JSON schema with bounding boxes at word, line, and paragraph levels.
Timothy Sainburg at Harvard Dataverse produced this collection of 3D skeletal keypoints for approximately 350 mice across 8 species and 18 subspecies. The data consists of 30-minute open-field recording sessions captured at 120-150fps using a synchronized 6-8 camera array.
Disaster Image Dataset is a collection of images published on Kaggle. The title suggests it contains visual data related to natural or man-made disasters. Its content and scale require verification after download.
ImageCliefGanLatentMatchingTest is a dataset hosted on Kaggle. Its title suggests a focus on testing latent space matching techniques for Generative Adversarial Networks (GANs) in the context of image data. The dataset's specific contents, scale, and authorship are not detailed in the provided metadata.
PL_Shrimp_Datomate_YOLO is a computer vision dataset likely containing images of shrimp for object detection tasks. The dataset is hosted on Kaggle, but its specific contents, size, and creation details are not documented. The title suggests it is formatted for use with the YOLO (You Only Look Once) object detection framework.
A dataset likely containing images for object detection tasks related to welding. It is published on Kaggle, but the specific number of images, creation date, and author are unknown. The title suggests the data is balanced for training YOLO models.