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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,357 datasets
YOLO is a popular real-time object detection system. This dataset, published on Kaggle, likely contains images and bounding box annotations for training YOLO models. The specific content, size, and origin require verification after download.
A dataset named 'cnn-meta-folds' published on Kaggle. The title suggests a structure involving folds, likely for cross-validation or meta-learning tasks related to convolutional neural networks (CNNs). Further details regarding its size, origin, and specific contents are unavailable from the provided metadata.
Synthetic OCR TextRecognitionDataGenerator is a dataset published on Kaggle. The dataset likely contains synthetic images and corresponding text annotations for optical character recognition tasks. The specific volume, creation method, and author details are not provided in the available metadata.
An optical character recognition dataset, likely containing images and corresponding extracted text. The dataset is hosted on Kaggle, but its specific contents, size, and creation details are not provided in the minimal metadata. Further verification is required to confirm the exact nature and scope of the included data.
A dataset titled 'pcb-yolo-dataset' published on Kaggle. The title suggests it contains images of printed circuit boards (PCBs) for use with the YOLO object detection framework. The dataset's author, organization, size, and specific contents are unknown and require verification after download.
Detection and classification of civilians, animals, and rescuers in urban disaster scenes. The dataset is hosted on Kaggle, but specific details on size, creation date, and authorship are not provided. Its intended use is for computer vision tasks related to disaster response scenarios.
Pre-extracted 2D image-level and object-level features for 3D scenes from the ScanNet and ScanNet200 datasets. The collection contains features for 1513 scenes, with 4539 total files provided by authors Jinyuan Qu, Hongyang Li, and colleagues. The dataset was last updated in February 2026.
Training results and evaluation metrics likely from a computer vision model, possibly related to agriculture and plant disease detection. The dataset is published on Kaggle. The author, organization, and last update date are unknown.
Kaggle hosts a dataset titled 'yolosbeforcbam9clasesbest'. The dataset's platform tags suggest a focus on computer vision and agriculture, likely containing training results or model outputs related to plant disease classification. Specific details on the data's origin, size, and creation date are not provided in the available metadata.
A dataset likely related to object detection and feature extraction using the YOLO11m model. It is published on the Kaggle platform, but the specific contents, size, and creation details are not provided in the metadata. The actual data composition and purpose require verification after download.
YOLOv8xXX is a dataset published on Kaggle. The title suggests it is related to the YOLOv8 object detection model, likely containing images for training or evaluation. Specific details about its contents, size, and origin are not provided in the available metadata.
Background OCR price is a dataset hosted on Kaggle. The dataset likely contains pricing information related to Optical Character Recognition services or components. Specific details on volume, source, and creation date are unavailable from the provided metadata.
A collection of images of tomato leaves formatted for use with the YOLO object detection framework. The dataset is hosted on Kaggle and is intended for computer vision tasks related to plant disease identification. Specific details on the number of images, collection dates, and authorship are not provided in the available metadata.
yolov10m.onnx is a machine learning model file for object detection, published on Kaggle. The model is likely a pre-trained version of the YOLOv10m architecture, converted to the ONNX runtime format for interoperability. Specific details about the training data, performance, and intended use are not provided in the available metadata.
An MRI image dataset from the Alzheimer's Disease Neuroimaging Initiative (ADNI), likely containing brain scans mapped to clinical classifications of Cognitive Normal (CN), Mild Cognitive Impairment (MCI), and Alzheimer's Disease (AD). The dataset is hosted on Kaggle, but specific details on volume, format, and collection dates are not provided in the available metadata.
A dataset titled 'vnc_legal_ocr_2M' published on Kaggle. The title suggests it likely contains text extracted from legal documents using Optical Character Recognition (OCR) techniques. The scale, source, and specific content require verification after download.
AgarthaVision Dataset is a computer vision resource published on Kaggle. The dataset's specific content, size, and creation details are not provided in the available metadata. Further inspection after download is required to confirm its exact composition and potential applications.
Geo-feature-keypoint is a dataset hosted on Kaggle. The title suggests it contains keypoint annotations for geospatial features, likely for computer vision tasks. The dataset's specific content, scale, and origin require verification after download due to minimal metadata.
234,000 declassified U.S. documents have been processed with optical character recognition (OCR). The collection includes 31 million extracted named entities and 1536-dimensional embeddings for each document. The dataset is hosted on Kaggle.
Datos.gov.co provides a registry of sports leagues in the Bolívar department and Cartagena de Indias district. The dataset lists leagues for various sports, each with administrative details. It was last updated in December 2025.