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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,396 datasets
Pemandangan2 is a dataset of images published on Kaggle. The platform tags suggest it contains landscape and scenery imagery likely intended for computer vision applications. The dataset's specific size, origin, and update history are unknown.
A dataset likely containing images processed for the YOLO object detection framework. The specific number of images, source, and creation date are unknown. It is hosted on Kaggle and tagged for computer vision tasks.
Pemandangan3 is a dataset of scenery images hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the available metadata. Further details about the collection method, author, and license require verification after download.
EfficientNetV2b01111 is a dataset of model weights for the EfficientNetV2-B0 architecture, version 1.1.1.1, hosted on Kaggle. The dataset likely contains pre-trained parameters for image classification tasks. Specific details on the training data, size, and license are not provided in the available metadata.
Kaggle dataset titled 'ccar_resnet50_control_experiment'. The dataset likely contains images or model outputs related to a control experiment using a ResNet50 architecture. Metadata is minimal; actual content requires verification after download.
A Kaggle dataset likely containing images of Vietnamese license plates. The dataset appears intended for training or evaluating the YOLOv26 object detection model. Metadata is minimal; specifics such as the number of images, collection method, and time range are unknown.
A dataset titled 'yolo-modules' is hosted on Kaggle. The dataset likely contains images and annotations for training YOLO (You Only Look Once) object detection models. Metadata is minimal; specifics such as size, format, and content require verification after download.
Daily data from the JPMorgan Chase & Co. investment banking company. The dataset's specific contents, volume, creator, and update schedule are not detailed in the provided information.
Featuring harmonized variables from LAPOP surveys across 18 Latin American countries from 2006 to 2018, combined with country-year level data from PELA-USAL, V-Dem, and the ILO. It provides replication materials for a forthcoming article in Party Politics, including processed datasets and analysis scripts.
Data from the paper 'Social and Economic Impacts of Tuungane: Final Report on the Effects of a Community Driven Reconstruction Program in Eastern Democratic Republic of Congo' by Macartan Humphreys, Raul Sanchez de la Sierra, and Peter van der Windt. The dataset is associated with a study on community governance funded by the International Initiative for Impact Evaluation's Open Window Round 2. It likely contains survey or administrative data measuring the effects of the Tuungane development program.
A dataset titled 'face recognition dac findit 2026' is hosted on Kaggle. The dataset likely contains images for face recognition tasks, as suggested by its title. No further details on size, source, or specific content are available in the provided metadata.
Anonymized details of informants and the organizations they belong to, structured across three files. It was created by Miguel Saravia López de Castilla and is hosted by the Research on Pertinence Dataverse.
YOLOv8l is a pre-trained model for object detection tasks. The dataset likely contains the model weights and configuration files required for inference or fine-tuning. It is hosted on the Kaggle platform, which aggregates community-shared data and models.
Kaggle hosts the YOLOv8Large dataset, which is likely related to the YOLOv8 object detection model. The dataset's specific contents, such as model weights, configuration files, or training images, are not detailed in the provided metadata. Its author, organization, and last update date are unknown.
Pemandangan, meaning 'landscape' or 'scenery' in Indonesian, is a collection of images hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Users must download the dataset to verify the exact nature, quality, and scope of the included imagery.
SCB_0.671k is a dataset of images from a university campus, likely annotated for object detection tasks. The title suggests it contains approximately 671 images formatted for use with the YOLO (You Only Look Once) object detection model. It is hosted on Kaggle, but details on the creator, collection method, and specific annotation classes are unavailable.
A dataset titled 'dhbk_hb_model cnn gei 000 v24.7' published on Kaggle. The title suggests it is likely a Convolutional Neural Network (CNN) model or related data, possibly version 24.7. Specific details on the creator, size, and content are not provided in the metadata.
A dataset of image embeddings likely generated by a Convolutional Neural Network (CNN), as suggested by the title. The dataset is hosted on Kaggle, but specifics on the number of embeddings, source images, and creation details are not provided in the metadata. Further details about the author, organization, and data collection method are unknown.
A dataset likely containing video or image sequences for object detection and tracking, built around the YOLO26x and ByteTrack models. It was published on Kaggle, but details on its size, creation date, and specific content are not provided in the metadata. The dataset's origin is associated with the University of California, San Diego (UCSD).
Kaggle hosts this image dataset focused on cattle breeds. The dataset's specific size, collection method, and authorship details are not provided in the metadata. Its content and scope require verification after download.