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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,127 datasets
Thermal imaging data formatted for training YOLOv8 object detection models. The dataset is hosted on Kaggle, a popular platform for machine learning datasets. Its specific source, collection method, and size are not detailed in the provided metadata.
train_eval_xai_cub_resnet50 models likely contains performance metrics and explainability outputs for a ResNet50 model trained on the CUB dataset. The dataset is published on Kaggle, but its specific contents and creation date are unknown. Columns suggest it may include evaluation scores and feature importance data for analyzing model behavior.
A dataset from Kaggle likely containing evaluation results for EfficientNet B4 models trained on the CUB-200-2011 dataset. The content appears to focus on model performance metrics and explainable AI (XAI) outputs. Specific details such as the number of models evaluated, the exact metrics, and the author are unavailable from the provided metadata.
Gorishnevnavsk city council in the Poltava region of Ukraine provides information about its organizational structure. The dataset likely contains details about the executive bodies and information manager roles within the local government. It was last updated on February 20, 2026.
Comprising 2,724 OCR transcriptions of the 1771 Encyclopaedia Britannica, generated by davanstrien in February 2026. It utilizes the GLM-OCR 0.9B model to convert historical document images into structured text outputs.
NOAA's second Gulf of Mexico and East Coast Carbon (GOMECC-2) cruise collected a snapshot of key carbon, physical, and biogeochemical parameters related to ocean acidification. The effort supported the NOAA Ocean Acidification Program's coastal monitoring objectives, involving 8 transects orthogonal to the Gulf and Atlantic coasts. Measurements were taken aboard the NOAA Ship Ronald H. Brown, which departed from Miami and transited to Boston.
Multiple U.S. states and agencies contribute LiDAR, orthophoto imagery, and digital elevation models to this unified collection. The data is hosted by NUVIEW and organized in a cloud-optimized format, including COG GeoTIFFs and COPC LAZ point clouds. All assets are available under an open CC0-1.0 license.
A dataset published on Kaggle, likely containing images for object detection tasks. The title suggests a connection to the YOLO (You Only Look Once) family of computer vision models. Specific details on size, source, and creation date are unavailable.
A dataset hosted on Kaggle with a title suggesting a focus on convolutional neural networks. The specific content, size, and origin are not detailed in the provided metadata. Users must download the dataset to verify its exact composition and intended application.
ImageNet Val 1000 is a subset of the ImageNet dataset, likely containing 1000 images for validation purposes. It is published on Kaggle. The dataset's specific source, collection method, and update history are not detailed in the provided metadata.
EfficientNet B4 models evaluated for explainable AI performance. The dataset originates from Kaggle, a platform for data science competitions. Its specific contents, such as evaluation metrics or feature importance scores, require verification after download.
train_eval_xai_resnet50 models is a dataset published on Kaggle. The dataset likely contains evaluation metrics and explainable AI (XAI) results for ResNet50 models. Metadata is minimal; specifics about size, columns, and creation details are unknown.
Kaggle hosts a collection of labeled helicopter images aggregated from multiple sources. The dataset is intended for training YOLO object detection models. The author, organization, and specific volume of images are unknown.
Electric field intensity measurements recorded by Colombia's National Spectrum Agency (ANE) to monitor public exposure limits. Data consists of RMS electric field intensity values averaged over six-minute intervals, collected by isotropic probes at monitoring stations. The dataset was updated with regulatory changes through November 1, 2023.
A dataset published on Kaggle containing checkpoint files for StyleGAN3, a generative adversarial network. The specific content, such as the number of checkpoints or the training data used, is not detailed in the available metadata. The dataset likely contains model weights for generating or manipulating synthetic images.
An image dataset of plaster and ceiling cracks for Structural Health Monitoring (SHM). The dataset likely contains photographs of cracked surfaces intended for analysis. Its author, organization, and specific size are unknown.
VetSen-BR is a dataset for satellite image segmentation, likely containing geospatial data from Brazil. The description indicates it combines imagery from the Sentinel-2 satellite constellation with the EDGV 3.0 data source. The dataset's author, organization, and specific size are unknown.
tbYOLO is a dataset published on Kaggle. The title suggests it is likely designed for training or benchmarking object detection models using the YOLO (You Only Look Once) architecture. Its specific content, scale, and origin are not detailed in the available metadata.
A dataset likely intended for training or benchmarking the YOLOv8 object detection model. It is hosted on Kaggle, but its specific contents, size, and creation details are unspecified. The dataset's age and update frequency are unknown.
EfficientNetV2L Model Weights published on Kaggle. The dataset likely contains pre-trained weights for the EfficientNetV2-Large architecture, a convolutional neural network designed for image classification tasks. Specific details such as the training dataset, number of parameters, or performance metrics are not provided in the available metadata.