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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,390 datasets
Sediment samples from the Peel Plateau, central Mackenzie Valley, and Klondike region in Canada were characterized for biogeochemical properties and used in batch sorption and bioincubation experiments. The dataset supports a manuscript on organo-mineral interactions regulating dissolved organic matter bioavailability, to be submitted in 2026. It contains measurements from experiments assessing sorption potential and biodegradation impact.
Kitchen Image Datasets is a collection of images related to kitchen designs, published on Kaggle. The raw description suggests it is a comprehensive image dataset, but specific details about size, format, and creation are unavailable. The dataset likely contains visual data for analysis and model training in design and computer vision domains.
A dataset of earthquake waveforms organized by earthquake events and stored in HDF5 format. The dataset was created by AI4EPS and was last updated in March 2026.
Magnetoencephalography recordings from human auditory cortex during perception of isochronous tone streams under multi-tone masking. The data probe the amplitude of awareness-related negativity (ARN) and N1 responses across inter-stimulus intervals of 500, 850, and 1200 ms. The dataset was contributed by Clara Raudonat via heiDATA Harvested Dataverse and was last updated on 2026-01-18.
A dataset titled 'Hagrid YOLO Dataset' published on Kaggle. The title suggests it is likely a collection of images formatted for training or evaluating YOLO (You Only Look Once) object detection models. No further metadata on size, source, or content is available.
SONIC-O1 is a multi-form, audio-visual benchmark constructed from real-world recordings designed to probe core capabilities in audio-video understanding. The benchmark focuses on group-wise fairness analysis and human-centric evaluation, grounded in Responsible AI frameworks. It was created by sonico1org and last updated on January 29, 2026.
CIFAR-10 is a widely used benchmark dataset for image classification tasks. The dataset is structured with separate training, validation, and test splits. Its origin and specific creation details are not provided in the available metadata.
Yolo_plate is a dataset published on Kaggle. The title suggests it contains images for license plate detection, likely intended for training object detection models. No further metadata on size, source, or creation date is available.
A dataset published on Kaggle with the title 'uganda_crop_qa_luganda'. The title suggests it likely contains question-answer pairs related to agriculture in Uganda, written in the Luganda language. The author, organization, and specific collection details are unknown.
Quanganhbingu is a dataset published on the Kaggle platform. The dataset's specific content and scope are not detailed in the available metadata. Further details regarding its size, origin, and creation date are unknown.
YOLOv11xx is a dataset hosted on Kaggle. Its title suggests it relates to the YOLO (You Only Look Once) family of object detection models. The dataset likely contains images and annotations for training or benchmarking object detection systems.
The replication package for a study on war veterans and the erosion of democracy in Weimar Germany by Christoph Koenig. It contains data used to analyze the political impact of veterans during the Weimar Republic period.
This is the replication package for the study 'Loose Cannons: War Veterans and the Erosion of Democracy in Weimar Germany' by Christoph Koenig. It contains archival data used to analyze the relationship between war veterans and democratic decline in the Weimar Republic. The specific row count, column count, and data structure are not provided in the input.
YOLO-formatted images of apple leaves likely annotated for disease detection. The dataset is hosted on Kaggle, but its size, authorship, and specific annotations are unknown. It appears designed for training computer vision models to identify plant pathologies.
ImageNet-ES is a computer vision dataset containing 202,000 images captured with a real camera in a controllable testbed. It was created by author edw2n and presents covariate shifts caused by variations in light and camera sensor factors. The dataset was last updated on the platform in January 2026.
A dataset related to Gantt charts, which are visual tools for project scheduling and task management. It was published on Kaggle, but the specific content, size, and creation details are not provided in the metadata. The dataset's actual structure and fields require verification after download.
AttnGAN-pretrained is a dataset published on Kaggle by a user named ahmednada. The dataset appears to be related to the AttnGAN model, a generative adversarial network that uses attention mechanisms for text-to-image synthesis. The specific content, such as model weights, training data, or generated images, requires verification after download as metadata is minimal.
A dataset for computer vision tasks related to skin segmentation. It is hosted on Kaggle and is described as being ready for use with U-Net and YOLO architectures. The specific number of images, annotation details, and other metadata require verification after download.
A dataset on academic procrastination, sourced from Mendeley and hosted on Kaggle. The specific content, size, and collection details are not provided in the available metadata. Further verification of the data's structure and variables is required after download.
Healthy vs Unhealthy Food Image Dataset is a collection of images for visual recognition tasks. The dataset is hosted on Kaggle, a popular platform for data science competitions and projects. Specific details regarding the number of images, collection method, and creator are not provided in the available metadata.