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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,280 datasets
DL_EXP2_CNN is a dataset hosted on Kaggle, likely containing data for training or evaluating convolutional neural networks. The specific content, size, and origin are not detailed in the available metadata. Its title suggests a focus on computer vision experiments, but the actual data requires download for verification.
Kaggle hosts a dataset titled DL_EXP3-4_TL_CNN. The title suggests it relates to experiments in deep learning, specifically transfer learning with convolutional neural networks. The dataset's author, organization, and specific content are unknown.
DL_EXP5_PA_CNN is a dataset published on Kaggle. The title suggests it contains data for a deep learning experiment, likely involving convolutional neural networks. Its specific content, scale, and origin are not detailed in the available metadata.
DL_EXP10_GAN is a dataset published on Kaggle. The title suggests it contains data related to Generative Adversarial Networks, a class of deep learning models. Its specific content, scale, and origin are not detailed in the available metadata.
LemGendizedRetinaFaceResNetLarge is a dataset published on Kaggle. The title suggests it is related to the RetinaFace face detection model and the ResNet architecture. Its specific content, scale, and origin are unconfirmed due to minimal metadata.
A dataset for testing YOLO (You Only Look Once) object detection models. Published on Kaggle, its specific size, content, and creation date are unknown. The dataset likely contains images and annotations for model evaluation.
A curated collection of Romanian Baccalaureate (BAC) mathematics examination papers and answer keys, transcribed from PDF to structured Markdown using Vision-Language Model OCR. The dataset currently includes exams from the years 2019 to 2025.
Mortadella Image Dataset is a collection of images focused on the Italian sausage mortadella, sourced from the Kaggle platform. The dataset's specific size, collection method, and author are not detailed in the provided metadata. Its content and potential applications are inferred from the title and platform context.
From 2014-02-11 to 2022-08-09, this dataset contains discrete and profile measurements of dissolved inorganic carbon, total alkalinity, temperature, salinity, nutrients, and dissolved oxygen in the Irminger Sea, North Atlantic Ocean. It was collected during R/V Arni Fridriksson and R/V Bjarni Saemundsson cruises and is provided by the National Oceanic and Atmospheric Administration.
Discrete and underway measurements of dissolved inorganic carbon, total alkalinity, pH, dissolved oxygen, and pCO2 collected near a buoy off the coast of New Hampshire. Data were gathered from 2016 to 2020 aboard the R/V Gulf Challenger using CTD profiles, Niskin bottles, and an underway system. The National Oceanic and Atmospheric Administration (NOAA) is the authoritative organization for this dataset.
VegQi/Move360 is a dataset of high-quality 360° video frames. The data is organized as a tabular structure with fields for scene and frame identifiers. The dataset was last updated on 2026-02-13.
A dataset hosted on Kaggle titled 'keypoints33'. The title suggests it likely contains images annotated with keypoints, a common format for pose estimation or object detection tasks. No further metadata on size, author, or temporal coverage is available.
A dataset for training object detection models to identify cracks, likely in materials like concrete or asphalt. Published on Kaggle, it is intended for computer vision tasks. The specific volume of images, annotation details, and creation date are unknown from the provided metadata.
Urdu text images for optical character recognition tasks, sourced from Kaggle. The dataset likely contains images of both handwritten and printed Urdu script. Specific details on volume, creation date, and author are unavailable from the provided metadata.
RAS-RefCOCO likely contains images paired with natural language expressions that refer to specific objects within them. The dataset is published on Kaggle, but its specific scale, author, and last update date are unknown. Columns suggest it is designed for tasks linking visual regions to textual descriptions.
A multi-class image dataset for e-waste classification. It is intended for deep learning and transfer learning applications. The dataset contains images across 18 distinct classes.
Colombian government data listing entities subject to fiscal control and their basic reporting units. It includes columns for fiscal year, tax ID, control body, name, and entity type. The dataset is published by the Colombian open data portal and was last updated in December 2025.
The HMSRP Hawaiian Monk Seal Microsatellite Genotypes dataset from the National Oceanic and Atmospheric Administration contains genetic data for approximately 2,400 Hawaiian monk seal specimens. Genotypes are provided for 18 microsatellite loci, organized by individual Seal ID number. An additional dataset is being generated to expand genotypes by another 30 loci.
A dataset likely containing images and annotations for training object detection models using the YOLO (You Only Look Once) framework. It appears to be related to the YOLO-11n and YOLO-6-scaled architectures, suggesting a focus on model variants and scaling. The dataset is hosted on Kaggle, but its specific content, size, and creation details are not provided.
The dataset tracks sidewalk defect violations and related inspections in New York City, managed by the City of New York's Department of Transportation. It includes records for violations, inspections, and repinspections, with data last updated in March 2026.