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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,479 datasets
Tabular data on paying attendance and revenue for Brazilian football league matches. The dataset is tagged for sports attendance analysis. Specific details on row count, columns, and temporal coverage are not provided in the input.
A pre-trained SegResNet model, likely designed for semantic segmentation tasks, is hosted on Kaggle. The model's architecture suggests it is intended for processing image data, potentially in domains like medical imaging. Specific details regarding its training data, performance, and intended use are not provided in the available metadata.
A collection of combined model weights for the YOLO11l object detection architecture. The dataset is hosted on Kaggle and likely relates to the SVAMITVA project, which suggests an application in analyzing satellite or aerial imagery. Specific details on the number of weights, their training data, or the author are not provided in the available metadata.
A dataset likely containing image data for use with the ResNet50 deep learning model. The dataset is hosted on Kaggle, but its specific contents, size, and origin are not detailed in the provided metadata. Further details such as the number of images, classes, and collection methodology require verification after download.
LongVT-Source provides the original video and image files referenced by the LongVT project's training annotations. The dataset, created by 'longvideotool', is structured as zip archives organized by dataset type. Its repository was last updated on December 10, 2025.
Autocrop is a computer vision dataset hosted on Kaggle. The dataset's specific content, scale, and creation details are not provided in the available metadata. Further verification is required after download to confirm its exact composition and intended use.
Mohammed Almaamari's Quran dataset provides verse-level data combining the Arabic text of the Quran with metadata, audio recitation links, and images of verses as they appear in the mushaf. The dataset was last updated on December 22, 2025. It is intended for applications in Quranic education, recitation, and Arabic natural language processing.
200,000 labeled nuclei instances across 19 distinct tissue types facilitate instance segmentation and classification tasks. This dataset represents the first part of a three-part series focused on histopathology research.
Kaggle hosts a dataset containing the ResNet model, a widely used pre-trained convolutional neural network for image classification. The specific version, architecture details, and training data are not provided in the available metadata. Users must download the dataset to inspect the exact model files, weights, and any accompanying documentation.
EfficientNet-PyTorch is a dataset likely containing resources for implementing the EfficientNet convolutional neural network architecture using the PyTorch framework. It is published on Kaggle. The specific contents, such as model weights, training scripts, or example data, require verification after download.
A pre-trained YOLOv7 model for detecting military aircraft, hosted on Kaggle. The dataset's specific size, annotation details, and creation date are not provided in the available metadata. Its content and performance characteristics require verification after download.
Kaggle hosts this dataset, which appears to be related to an implementation of a computer vision research paper. The title suggests a connection to the YOLO (You Only Look Once) family of object detection models. Specific details on the data's size, format, and origin are not provided in the available metadata.
hey-yolov5 is a dataset entry on Kaggle referencing the Git repository for Ultralytics' YOLOv5. The entry likely contains resources related to the YOLOv5 object detection model. The dataset's specific content, such as training images, annotations, or model weights, requires verification after download.
WLASL likely refers to the Word-Level American Sign Language dataset. The dataset appears to contain keypoint data extracted from sign language videos, which is commonly used for pose estimation tasks. It is hosted on Kaggle, a platform for data science and machine learning projects.
A Git repository containing code and likely assets for the YoloR object detection model. The repository is hosted on Kaggle, but the specific contents, such as training data, configuration files, or model weights, are not detailed in the provided metadata. The author, organization, and last update date are unknown.
A Git fork of the Yolor object detection framework with modified files. The dataset likely contains code and configuration files for a computer vision model. It is hosted on Kaggle, but the specific author, organization, and update history are unknown.
A dataset published on Kaggle, likely containing a pre-trained model checkpoint for Optical Character Recognition (OCR) tasks. The specific architecture, training data, and performance metrics are not detailed in the provided metadata. The author, organization, and last update date are unknown.
Hitamputih1bit is a dataset of binary black and white images, published on Kaggle. The dataset's specific content, scale, and creation details are not provided in the available metadata. Further verification is required to confirm the exact number of images, their source, and the annotation methodology.
A dataset of images formatted for YOLO OBB (Oriented Bounding Box) object detection models. The dataset is tagged for computer vision tasks, specifically object detection with oriented bounding boxes. Specific details on the number of images, objects, or classes are not provided.
VGGFace2_processed is a dataset hosted on Kaggle. The title suggests it contains processed images related to the VGGFace2 project, which is a large-scale face recognition dataset. The specific processing steps, scale, and original authorship are not detailed in the provided metadata.