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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,431 datasets
A synthetic dataset for Optical Character Recognition (OCR) tasks, likely containing images of Vehicle Identification Numbers (VINs) against a white background. It is published on Kaggle and tagged as 'Synthetic'. The specific creator, size, and creation details are not provided.
Kaggle hosts a dataset titled 'Yolo SAR', which likely contains satellite or synthetic aperture radar (SAR) imagery. The dataset is intended for object detection tasks, as suggested by the 'Yolo' reference to the 'You Only Look Once' computer vision model. No further metadata on size, source, or creation date is available.
Indonesian Food Computer Vision Dataset is a collection of images for computer vision tasks, published on Kaggle. The dataset's specific content, size, and creation details are not provided in the available metadata. Its primary application is likely in training and evaluating models for visual recognition of Indonesian cuisine.
An image dataset likely intended for training and evaluating YOLO (You Only Look Once) object detection models. It was published on the Kaggle platform by a user named 'mrLinh'. The dataset's specific contents, scale, and creation date are not detailed in the available metadata.
A Mask R-CNN saved model file, likely for performing instance segmentation tasks. The model was published on the Kaggle platform under the 'Pre Trained Model' tag. Specific details regarding the training data, architecture version, and performance metrics are not provided in the available metadata.
A dataset titled 'CICandMal_CNN' is hosted on Kaggle. The title suggests it is likely related to network traffic analysis and malware classification, potentially using Convolutional Neural Networks (CNN). Metadata is minimal; the specific content, size, and origin require verification after download.
A dataset published on Kaggle, likely containing images for training and evaluating object detection models using the YOLO (You Only Look Once) framework. The specific subject, such as coins or cryptocurrency-related imagery, is inferred from the title. The dataset's author, size, and creation date are not provided in the available metadata.
Kaggle hosts a dataset of Amazon product images and associated metadata, scraped and cleaned for analysis. The dataset likely contains visual and tabular data for e-commerce products. The original author, update date, and exact size are unknown.
A dataset for character recognition likely intended for training YOLO (You Only Look Once) object detection models. Published on Kaggle, its specific size, author, and last update date are unknown. The dataset likely contains images with bounding box annotations for characters.
A dataset titled 'Capstone_YOLO_Ready' published on Kaggle. The title suggests it contains images formatted for training a YOLO (You Only Look Once) object detection model. The dataset's specific content, size, and creation details are unknown.
Kaggle hosts an instance segmentation dataset focused on coffee cherries. The dataset likely contains images annotated for maturity stages, intended for computer vision tasks. Specific details on volume, origin, and creation date are unavailable.
Kaggle hosts a pre-trained computer vision model named DHBK HB Model CNN GEI 060 V24.8. The model appears to be a convolutional neural network (CNN) architecture, likely designed for image analysis tasks. Its specific application, training data, and performance metrics are not detailed in the provided metadata.
Published on Kaggle. The dataset likely contains computer vision data, possibly related to CNN embeddings or image processing. Its specific content, size, and creation details are unknown from the provided metadata.
ResNet50 is a widely-used convolutional neural network architecture for image classification. This dataset likely contains performance metrics or evaluation results from experiments using ResNet50. The data was published on Kaggle, but its specific origin and creation date are unknown.
Results from evaluating an EfficientNet model, likely on Kaggle. The dataset's specific contents, such as performance metrics or predictions, are unknown. Its author, size, and update date are not provided.
YOLO11m-v2-pcb likely contains images of printed circuit boards intended for training object detection models. The dataset is published on Kaggle, but its specific size, creation date, and authorship are unknown. Its name suggests it is a version two release of a dataset designed for use with the YOLO object detection framework.
YoloGymFeatures is a dataset published on Kaggle. Its title suggests it contains features or annotations related to object detection, likely using the YOLO (You Only Look Once) framework. The dataset's content, scale, authorship, and update history are unknown.
Kaggle hosts a dataset titled 'malware-classification-resnet50'. The title suggests it likely contains image-based representations of malware for classification tasks. The dataset is associated with a pre-trained ResNet50 model, indicating a focus on computer vision applications.
A dataset titled 'yolo_hand_detection_v2' is hosted on Kaggle. The dataset likely contains images annotated for hand detection, intended for training or evaluating YOLO-based object detection models. Its specific contents, scale, and authorship are unknown from the provided metadata.
DHBK HB Model CNN GEI 240 v24.6 is a pre-trained computer vision model hosted on Kaggle. The title suggests it likely contains a convolutional neural network (CNN) architecture. Its specific purpose and training data require verification after download.