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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
15,993 datasets
HYDRA-SR ImageNet SR Dataset Chunk 003 is a dataset of images for super-resolution tasks, likely derived from the ImageNet collection. It is published on Kaggle, but the author, organization, and creation date are unknown. The dataset's size, specific contents, and file formats are not detailed in the available metadata.
HYDRA-SR ImageNet SR Dataset Chunk 004 is a dataset for image super-resolution tasks, published on Kaggle. The dataset's title suggests it is part of a larger collection derived from the ImageNet benchmark, likely containing images processed for resolution enhancement. Metadata is minimal; specifics on size, format, and annotations require verification after download.
HYDRA-SR ImageNet SR Dataset Chunk 005 is a dataset for super-resolution tasks, likely derived from the ImageNet collection. It is published on Kaggle. The specific content, scale, and creation details require verification after download.
HYDRA-SR ImageNet SR Dataset Chunk 006 is a segment of a larger collection for image super-resolution tasks. It is hosted on Kaggle, but detailed metadata about its size, creation method, and authorship is unavailable. The dataset likely contains processed images derived from the ImageNet dataset, intended for training or benchmarking super-resolution models.
HYDRA-SR ImageNet SR Dataset Chunk 007 is a dataset for super-resolution tasks, likely derived from the ImageNet collection. It is published on the Kaggle platform. The specific content, scale, and creation details for this chunk require verification after download.
HYDRA-SR ImageNet SR Dataset Chunk 008 is a dataset for image super-resolution tasks, published on Kaggle. The dataset likely contains a subset of images from the ImageNet collection, processed for super-resolution model training or evaluation. Specific details on the number of images, resolution, or processing methodology are not provided in the available metadata.
A chunk of the HYDRA-SR dataset, which likely contains super-resolution image pairs derived from the ImageNet dataset. It is published on Kaggle, but the author, organization, and specific details are unknown. The dataset's size, number of rows, and last update date are not provided.
An image dataset likely intended for training YOLO-based object detection models. The dataset's specific contents, scale, and origin are not detailed in the provided metadata. It was published on the Kaggle platform.
Valid ImageNet Paths likely contains a list of file paths pointing to images from the ImageNet dataset. The dataset is hosted on Kaggle, but its specific size, creation date, and author are unknown. It appears to be a utility dataset for locating ImageNet image files.
Published on Kaggle, this dataset contains information on voluntary social welfare organizations. The specific number of records, time coverage, and collection method are not detailed in the available metadata. The dataset likely provides details on such organizations, but the exact columns and data structure require verification after download.
A Kaggle-hosted collection of leaf images from 13 distinct medicinal plant species. The dataset likely contains labeled images intended for computer vision tasks. Metadata is minimal; actual content requires verification after download.
HiDream-ai provides a collection of video files from the VIP-200K dataset, packaged as 100 tar archives. The repository contains only the raw video clips, with annotations and metadata available separately. The dataset was last updated on March 19, 2026.
Germany is the geographic focus of this dataset, which examines the growing divergence between Christian churches and the Christian Democratic Union (CDU) and Christian Social Union (CSU) parties, particularly on migration policy. The data was authored by Marc Debus and last updated on March 16, 2026. It likely contains survey data used to analyze the electoral consequences of this political shift.
Palynofacies, microcharcoal, clay mineralogical, and carbon isotope mass spectrometry measurements from the Late Pliensbachian interval (934–918 mbs) of the Mochras borehole in Wales. The dataset extends previously published data and covers the onset of a positive carbon-isotope excursion, collected and analyzed by researchers including Teuntje Hollaar and Stephen Hesselbo.
A 14-class Philippine vehicle detection dataset, cleaned using CleanLab. The dataset was used to train a YOLO11s model achieving 90.3% mAP50. The author, organization, and last update date are unknown.
Korea 3rd gen girl group TWICE face recognition dataset is hosted on Kaggle. The dataset likely contains images of the K-pop group TWICE for face recognition tasks. Metadata such as column details, sample data, and license information are unavailable.
Yoloswinv2tnaver11 is a dataset published on Kaggle, likely related to computer vision tasks. Its title suggests a connection to the YOLO and Swin Transformer architectures, which are commonly used for object detection. The dataset's specific content, scale, and origin require verification after download due to minimal provided metadata.
YOLOEFFV2Shopee11 is a computer vision dataset hosted on Kaggle. Its title suggests a focus on object detection, likely using the YOLO framework, with potential application to e-commerce imagery from platforms like Shopee. The dataset's specific content, scale, and authorship are not detailed in the available metadata.
A collection of forest landscape images intended for scene analysis. The dataset is hosted on Kaggle, but its creator, size, and specific temporal coverage are unknown. The images are described as being for vegetation and environmental analysis.
no seatbelt.v3i.yolov11 is a dataset likely intended for training object detection models, specifically for identifying seatbelt usage. Its name suggests it is formatted for the YOLOv11 architecture, indicating a focus on computer vision tasks. The dataset is hosted on Kaggle, but detailed metadata such as the number of images, annotation specifics, and creation details are not provided.