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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,462 datasets
A collection of images for American Sign Language classification. It is tagged for computer vision tasks, specifically multiclass classification using convolutional neural networks (CNN). The specific number of images, classes, and features is unknown.
Cross-spectral imagery designed for advancing camouflaged object detection, specifically for seal populations. The dataset is associated with NOAA and focuses on cost-effective detection methods. Specific details on volume, creation date, and authors are not provided.
coca_yolo_cls_test is a dataset hosted on Kaggle. The title suggests it is likely a test set for object detection and classification tasks, potentially using the YOLO (You Only Look Once) framework. The dataset's specific content, scale, and origin are not detailed in the available metadata.
YoloSkeltonGym is a dataset published on Kaggle. The title suggests it contains images for human pose and skeleton detection, likely intended for training or benchmarking computer vision models. The dataset's specific content, scale, and origin require verification after download.
An image dataset focused on paddy seeds, sourced from Kaggle. The dataset's specific size, collection method, and temporal coverage are not detailed in the available metadata. Further verification of the content and its characteristics is required after download.
HTML VIEW OF CNN ARCHITECTURE is a dataset hosted on Kaggle. The title and platform tags suggest it contains visual representations of Convolutional Neural Network structures. The specific content, scale, and origin are not detailed in the available metadata.
Ultralytics YOLOv8 is a cutting-edge, state-of-the-art model for object detection tasks. The dataset likely contains training images and annotations used for developing and benchmarking this model. Its specific size, format, and provenance details are not provided.
YOLOv7 is an implementation of a state-of-the-art object detection model described in a research paper. The dataset likely contains model weights, configuration files, and training scripts for the YOLOv7 architecture. It is hosted on Kaggle and focuses on the 'trainable bag-of-freebies' improvements introduced in the paper.
A dataset for analyzing slogans of various organizations, sourced from Kaggle. The dataset's size, specific sources, and update history are unknown. It is intended for applications in marketing and data analytics.
EfficientNet is a Keras and TensorFlow Keras reimplementation of the EfficientNet convolutional neural network architecture. The dataset likely contains the model weights and code for training or inference. The original author and organization are unknown.
U.S. Census Bureau TIGER/Line shapefiles provide topological polygon primitives for Logan County, Illinois. Each face includes unique identifiers and key geographic area codes for building geometries of Census tabulation areas. The data is extracted from the national Master Address File / Topologically Integrated Geographic Encoding and Referencing (MTS) system.
dhbk_hb_model cnn gei 225 v24.3 is a pre-trained convolutional neural network model hosted on Kaggle. The title suggests it is likely a model for image classification or feature extraction. Its specific architecture, training data, and performance metrics are not detailed in the available metadata.
Kaggle hosts a dataset titled 'yolo-hand-v7', which likely contains images for training and evaluating hand detection models. The dataset's specific content, size, and creation details are not provided in the available metadata. Its association with the YOLO (You Only Look Once) architecture suggests it is intended for real-time object detection tasks.
A dataset published on Kaggle, categorized for Computer Vision. The title suggests it may contain image embeddings or features generated by a CNN (Convolutional Neural Network). Specific details regarding size, source, and creation date are not provided in the available metadata.
A dataset titled 'rehab24-6-frames60-keypoints' published on Kaggle. The title suggests it contains 60 frames of keypoint data, likely for 24 rehabilitation-related activities or subjects. The specific content, collection method, and creator are unknown from the provided metadata.
A time-series collection of basketball betting odds updated every 7 minutes since August 24, 2025. The data tracks historical market fluctuations for basketball games to facilitate high-frequency sports analytics.
timm-efficientnetv2-xl is a set of pre-trained model weights for the EfficientNetV2-XL architecture. The dataset likely contains the parameters for a deep learning model designed for image classification tasks. It is hosted on the Kaggle platform, but specific details about its origin, training data, and performance are not provided in the metadata.
SVAMITVA-YOLO11L-V6 is a dataset published on Kaggle, likely for training and evaluating object detection models using the YOLOv11 architecture. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Its title suggests a connection to the SVAMITVA initiative, which may indicate a focus on geospatial or property-related imagery.
An Arabic OCR dataset published on Kaggle. The dataset likely contains images of Arabic text and corresponding transcriptions for training and evaluating optical character recognition models. Specific details on the number of samples, collection method, and author are not provided in the available metadata.
David C. Logan Dataverse provides replication files and analyses for the forthcoming Journal of Conflict Resolution article 'Shadow Wars in the Shadow of the Bomb'. The dataset supports research on the link between nuclear weapons and indirect conflict. Specific row counts, column counts, and file formats are not detailed in the input.