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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,377 datasets
A dataset published on Kaggle for brain tumor detection, likely containing medical images. The dataset is intended for use with the Mask R-CNN deep learning architecture for object detection and segmentation tasks. Specific details on size, source, and creation date are unavailable from the provided metadata.
A collection of images for detecting skin cancer using convolutional neural networks, sourced from Kaggle. The dataset's specific size, origin, and temporal coverage are not detailed in the provided metadata. Its content and structure require verification after download.
A collection of medical images for brain tumor analysis, likely containing segmentation masks compatible with the Mask R-CNN architecture. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Specific details on the number of images, collection dates, and originating institution are not provided in the available metadata.
A dataset hosted on Kaggle for developing computer vision models to detect brain tumors. The title suggests it contains medical images likely annotated for use with the Mask R-CNN architecture. The dataset's specific scale, origin, and creation date are not provided in the available metadata.
Skin Cancer CNN is a dataset hosted on Kaggle, likely containing medical images for the purpose of skin cancer detection. The dataset's specific content, scale, and origin are not detailed in the available metadata. Its title suggests it is intended for training and evaluating convolutional neural network models.
Brain tumor detection using Mask R-CNN is a dataset hosted on Kaggle. The dataset likely contains medical images for training and evaluating instance segmentation models. Specific details on the number of images, annotations, and collection methodology are unavailable.
Skin cancer detection images likely intended for training and evaluating convolutional neural network models. The dataset is hosted on Kaggle, but its specific size, source, and creation date are not provided in the available metadata. Columns and sample data are unknown, requiring verification after download to confirm content and structure.
Kaggle hosts the Chandra OCR Input dataset. The title suggests it contains document images intended for optical character recognition tasks. The dataset's specific content, size, and origin require verification after download.
LightOnOCR-bbox-mix-0126 is a large-scale OCR training dataset built via distillation from a strong vision-language model. The dataset provides naturally ordered full-page transcriptions in Markdown format, including LaTeX math spans and HTML tables, designed for end-to-end document understanding models. It was created by lightonai and last updated on Hugging Face in January 2026.
Paul Landsbergis authored a journal article on work organization, job insecurity, and occupational health disparities. The article appeared in a Wiley-Blackwell journal, and its availability is restricted by the publisher's copyright policy. The dataset likely contains the article's text and metadata.
KFGOD provides 882,399 annotated object instances across 33 fine-grained classes from KOMPSAT-3 and KOMPSAT-3A satellite imagery. The dataset offers annotations in both oriented and horizontal bounding box formats, serving as a homogeneous benchmark for remote sensing tasks. It was created by user ohhan777 and last updated on Hugging Face in January 2026.
A dataset likely containing images and annotations for training and evaluating the YOLOv8xx object detection model. It was published on Kaggle, but the specific contents, size, and creation details are not provided in the metadata. The dataset's recency and authorship are unknown.
This dataset supports a study investigating whether emotions from non-political events influence satisfaction with democracy. It leverages quasi-experiments from major football games and a controlled experiment using excerpts from The Lion King. The data was collected by Shane Singh.
A dataset named HAGRID-YOLO-DET, published on Kaggle. The title suggests it contains images for object detection, likely related to hand gestures. No further metadata on size, source, or creation date is available.
A dataset likely containing images for training object detection models to identify Personal Protective Equipment (PPE). It was published on Kaggle, but the specific collection date, size, and author are unknown. The title suggests it is derived from a final policy session, possibly indicating a specific project phase or evaluation.
MultiID-2M is a large-scale paired dataset constructed for multi-person scenarios in identity-consistent image generation. It provides diverse references for each identity to support the development of advanced diffusion-based models like WithAnyone. The dataset was created by author vcbe123 and was last updated on January 20, 2026.
Offering projections of electoral democracy levels across the Shared Socioeconomic Pathways (SSP) through the year 2100. It was created by modeling historical democracy from structural correlates and adjusting to meet SSP narratives. The projections indicate varying democratic outcomes by century's end depending on adaptation and mitigation challenges.
Indian Sign Language Hand Landmark Dataset is a collection of hand landmark keypoints for Indian Sign Language recognition. The dataset likely contains coordinates for hand joints or positions, intended for use with MediaPipe or similar frameworks. Its size, author, and license are unknown.
Tristan Klingelhöfer and Gideon Rahat authored this replication archive for their study on party personalism and democratic preferences, published in the journal Party Politics. The package contains the Stata do files and data used to analyze how internal political party structures influence their desired democratic models. It was last updated on Harvard Dataverse in March 2026.
Annual listings of life sciences and technology companies located in Cambridge, MA, compiled by the Cambridge Community Development Department. The data is gathered from industry organizations, company websites, incubator listings, and business information platforms. This listing was last updated in December 2025.