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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,406 datasets
Naval Warship Yolo OBB Dataset is an image dataset hosted on Kaggle. The title and platform tags suggest it contains imagery of naval vessels annotated for oriented bounding box (OBB) detection, likely for use with the YOLOv8 model. The dataset's specific scale, creator, and update date are not provided in the available metadata.
An image dataset published on Kaggle, likely for computer vision tasks. The dataset's title suggests it contains images for classification, potentially related to scenes or objects. Specific details on volume, creation date, and authorship are not provided in the available metadata.
Kuzushiji Character Dataset (Ogihan / Ogi Domain) contains single-character Kuzushiji image crops derived from Ogihan historical materials. It is published in a format compatible with datasets from the Center for Open Data in the Humanities (CODH). The dataset was created by DimV-Ai and last updated on January 11, 2026.
BirdNet is a large-scale, multi-source image dataset for bird species classification and ornithology research. It is tagged for computer vision, wildlife classification, and biodiversity applications.
A dataset of yoga poses annotated with 16 keypoints, published on Kaggle. The dataset likely contains images of individuals performing various yoga asanas with corresponding body joint coordinates. The author, organization, and temporal coverage are unknown.
A dataset of processed lines likely intended for training or evaluating the TrOCR model, a transformer-based optical character recognition system. The data was published on Kaggle, but the specific source, size, and creation details are not provided. The title suggests the content consists of text lines that have been pre-processed for an OCR task.
ChuviettayOCR is a dataset published on Kaggle. The title suggests it is likely used for optical character recognition tasks. The dataset's specific content, size, and origin are not detailed in the provided metadata.
ImageNet Words is a dataset hosted on Kaggle. The title suggests it is related to the ImageNet project, a large-scale image database for visual object recognition research. The dataset likely contains textual labels or class names associated with the ImageNet hierarchy.
dhbk_hb_model cnn gei 225 v24.4 is a dataset published on Kaggle. The title and platform tags suggest it contains a Convolutional Neural Network (CNN) model, likely for image classification or analysis. The specific data content, such as model weights, architecture, or training data, requires verification after download.
A dataset titled 'dhbk_hb_emb cnn gei 225 v24.4' is hosted on Kaggle. The platform tags suggest it relates to computer vision and likely contains feature embeddings generated by a Convolutional Neural Network (CNN). The specific content, scale, and origin are unconfirmed due to minimal metadata.
taekwondo-ocrDemo is a dataset published on Kaggle. The title suggests it contains images or video frames related to the sport of Taekwondo, likely with text annotations for optical character recognition tasks. The dataset's specific contents, size, and origin are not detailed in the available metadata.
A dataset titled 'yolo_processed' published on Kaggle. The title suggests it contains images processed for use with the YOLO (You Only Look Once) object detection framework. The author, organization, size, and specific content are unknown and require verification.
A collection of replication data for a study on the political roots of ageism in greying democracies. It provides survey evidence from three countries: Italy, South Korea, and the United States. The data was authored by Roman Amarales Alonso and last updated in February 2026.
Kaggle hosts this dataset, titled 'Wholebody_Keypoints'. The dataset likely contains annotated keypoints for full human bodies, which are commonly used in computer vision tasks. Specific details on the number of images, annotation format, and source are not provided in the available metadata.
A dataset likely containing images of cats and dogs for training the YOLOv1 object detection model. It was published on the Kaggle platform. The specific number of images, annotation details, and creation date are unknown.
A set of YOLO (You Only Look Once) model weights published on Kaggle. The dataset likely contains the trained parameters for a YOLO-based object detection model. Details such as the specific YOLO version, training data, and performance metrics are not provided in the available metadata.
A dataset of drone-captured images, likely formatted for the YOLO object detection framework. The dataset is hosted on Kaggle and is tagged for computer vision applications. Specific details on the number of images, annotation types, and collection methodology are not provided in the available metadata.
Survey data from the Greenberg Collection captures public opinion on Michigan ballot initiatives. The Michigan Education Association authored this dataset, which was last updated in February 2026. It provides insights into voter attitudes and preferences.
Kaggle hosts the YOLOv11s dataset, a resource for computer vision tasks. The dataset likely contains images annotated for object detection, aligning with the YOLO (You Only Look Once) model naming convention. Specific details on volume, authorship, and update history are not provided in the metadata.