Loading...
Loading...
Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,487 datasets
Sony's See In The Dark (SID) dataset provides paired images for low-light computer vision research. The dataset is published on Kaggle, but its specific scale, collection method, and update history are not detailed in the provided metadata. Its content likely consists of matching low-light and corresponding normal-light image pairs.
OCR2_O is a dataset hosted on Kaggle, likely containing images and corresponding text for optical character recognition tasks. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Users must download the dataset to verify its exact composition and suitability for their projects.
Michigan Consumer Survey data, likely containing responses from residents of the U.S. state of Michigan. The dataset is hosted on Kaggle and includes a codebook for interpreting the survey variables. Specific details on the number of respondents, survey period, and collection methodology are not provided in the metadata.
A pre-trained Convolutional Neural Network (CNN) model, likely for image classification or analysis, published on Kaggle. The model's codename suggests it may be version 24.12, released in December 2024. Specific training data, architecture details, and performance metrics are not provided in the available metadata.
A computer vision dataset published on Kaggle. The title suggests it may contain image embeddings generated by a Convolutional Neural Network (CNN), possibly related to a project or model version 24.12. The dataset's specific content, size, and origin are not detailed in the provided metadata.
LocalImageNet is a dataset hosted on Kaggle. The title suggests it contains images, likely for computer vision tasks such as classification or object detection. Further details on its size, origin, and specific contents require verification after download.
A custom dataset likely intended for training or testing YOLO (You Only Look Once) object detection models. The dataset is hosted on Kaggle, but its specific content, size, and creation details are not provided in the metadata. Further verification is required to confirm the number of images, annotation types, and subject matter.
Tiny ImageNet-200 is a dataset for image classification tasks, likely derived from the ImageNet database. It is hosted on the Kaggle platform. The dataset's specific size, creation details, and update history are not provided in the available metadata.
Tiny ImageNet is a dataset derived from the ImageNet database, likely intended for computer vision tasks. The dataset is hosted on Kaggle, but specific details on its size, creation date, and authorship are not provided in the available metadata. Its content and structure must be verified after download.
YOLO-CDE is a dataset published on Kaggle. Its title suggests a focus on object detection, likely for training or benchmarking computer vision models. The dataset's specific content, size, and origin are not detailed in the available metadata.
weights_resnet is a dataset of pre-trained model weights for a ResNet architecture, hosted on Kaggle. The dataset likely contains the parameter files necessary for initializing or fine-tuning a convolutional neural network. Specific details on the model variant, training data, and performance are not provided in the metadata.
Medical ImageNet Dataset is a collection for image retrieval tasks, published on Kaggle. The dataset's specific size, source, and update history are not detailed in the provided metadata. Its content and structure require verification after download.
An image dataset for computer vision tasks related to printed circuit board (PCB) manufacturing. The dataset title suggests it is formatted for the YOLOv11 object detection model, indicating it likely contains bounding box annotations for defect categories. It is hosted on Kaggle, but detailed metadata on size, origin, and specific defect types is unavailable.
A pre-trained model named 'dhbk_hb_model' is hosted on Kaggle. The title suggests it is a Convolutional Neural Network (CNN) model, likely version 24.1. Its specific architecture, training data, and intended application require verification after download.
A dataset published on Kaggle with the codename 'dhbk_hb_emb cnn gei 270 v24.1'. The title suggests it contains CNN (Convolutional Neural Network) embeddings, likely for image classification tasks. The author, organization, and specific content are unknown.
A dataset for training and evaluating image-to-image translation models, specifically for removing cloud cover from satellite or aerial imagery. It is hosted on Kaggle, a platform for data science competitions and projects. The dataset's specific scale, creation details, and update history are not provided in the available metadata.
A dataset titled 'Samresnet34_ViVoice34' is hosted on Kaggle. The title suggests a connection to computer vision models, likely involving image data for tasks such as classification or recognition. No further metadata on size, origin, or content is available.
OCRA_ABCDwithX is a dataset hosted on Kaggle. The title suggests it contains images for optical character recognition tasks, likely focusing on the characters A, B, C, D, and X. The dataset's specific content, size, and origin require verification after download.
Planogram-YOLO11 is a dataset hosted on Kaggle. The title suggests it contains images of retail shelf planograms, likely annotated for object detection tasks using the YOLOv11 model. The dataset's specific size, origin, and update history are not detailed in the provided metadata.
YOLO models are a collection of pre-trained neural network weights for the YOLO (You Only Look Once) object detection architecture. The dataset is hosted on Kaggle, a platform for data science and machine learning projects. The specific version, author, and update history are not provided in the metadata.