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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,377 datasets
A collection of MRI scans for brain tumor analysis. The dataset appears to be designed for semantic segmentation tasks using the Mask R-CNN architecture. It is hosted on Kaggle, but details on its size, origin, and creation date are not provided in the metadata.
MRI brain scan images likely annotated for tumor segmentation using the Mask R-CNN architecture. The dataset is hosted on Kaggle, but details on its size, origin, and creation date are not provided in the available metadata. Further verification is required to confirm the exact number of images, annotation quality, and specific collection methodology.
Object detection data, likely containing images with bounding box annotations. The dataset is hosted on Kaggle, a platform for data science competitions and projects. Specific details on volume, authorship, and update history are not provided in the available metadata.
Skin Cancer Detection using CNN is a dataset hosted on Kaggle. The dataset likely contains medical images for training convolutional neural network models. The specific number of images, collection method, and origin are not detailed in the provided metadata.
Chemical composition data from freshwater samples collected at sites in Northern England. Measurements include pH, dissolved major ions (Na, Mg, K, Ca, Cl, NO3, SO4), dissolved organic carbon (DOC), and dissolved and total concentrations of aluminum and iron.
A micro-subset of the UCF101 action recognition dataset, designed for rapid 4D tensor manipulation and GPU VRAM testing. The dataset was created by the UVigo Video Understanding Lab. The specific number of video clips, file formats, and license details are not provided in the metadata.
Google DeepMind released this collection of multi-object image datasets featuring ground-truth segmentation masks and generative factors for representation learning. The repository was last updated in March 2026 and provides standardized benchmarks for object-centric machine learning.
A collection of images likely prepared for training YOLO-based object detection models. The dataset is hosted on Kaggle, but its specific size, source, and creation date are unknown. The content appears to be cropped images, a common preprocessing step for computer vision tasks.
A collection of medical images likely intended for training convolutional neural networks (CNNs) for skin cancer detection. The dataset is hosted on Kaggle, but its specific size, source, and creation date are unknown. The content and annotations require verification after download.
AOD (Airplane Object Detection) Dataset is a public collection of images for detecting airplanes. It includes an addendum to match the format of a canceled Leonardo competition. The author, organization, and specific volume of data are unknown.
Images Preprocessed for YOLO is a dataset hosted on Kaggle. The title suggests it contains images formatted for use with the YOLO (You Only Look Once) object detection model. Metadata is minimal; the exact content, scale, and source require verification after download.
An image dataset likely containing annotated images for object detection. The dataset is hosted on Kaggle and appears to be related to Personal Protective Equipment (PPE) detection using the YOLOv8m model. The specific content, scale, and creation details are unknown.
Meritocracy tests for filling freely appointed and removed managerial, advisory, and professional positions in Colombia's national executive branch entities. The dataset includes 18 columns covering entity details, position types, and geographic coordinates. Data is provided by the Colombian government and was last updated in December 2025.
The first broad-based community effort to articulate the needs and goals in nanoinformatics, based on a 2010 collaborative workshop. The roadmap identifies stakeholders, needs, capabilities, and connections for a successful nanoinformatics program. It outlines a decade-long implementation plan to establish a system of data, tools, and infrastructure for nanotechnology research and development.
The European External Action Service authored a report on global human rights and democracy for the year 2015. The dataset likely contains textual analysis and assessments of international conditions. Metadata is minimal; actual content requires verification after download.
A dataset titled 'cnn data' is hosted on Kaggle. The dataset's specific content, size, and structure are not detailed in the provided metadata. Its origin and temporal coverage are unknown.
Keypoints extracted from yoga pose videos using the MediaPipe framework. The dataset contains 82 keypoints per frame, saved in NumPy array format. The author, source organization, and total volume of data are unspecified.
Medical X-ray images annotated for bone tumor detection using the YOLO object detection format. The dataset is hosted on Kaggle and is categorized for computer vision applications. Specific details on the number of images, source, and creation date are not provided in the available metadata.
Solubility measurements for organic compounds in binary solvent mixtures. The dataset contains over 175,000 experimental data points. The author and creation date are unknown.
Weights_ResNet34 is a dataset of pre-trained model weights for the ResNet-34 architecture, published on Kaggle. The dataset's author, organization, and specific details about the training data are unknown. The last update date and the exact contents of the file are also unspecified.