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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,431 datasets
A dataset published on Kaggle, likely containing keypoint coordinates for sign language gestures. The data is intended for computer vision tasks, as suggested by the platform tags. Specific details on size, author, and temporal coverage are not provided in the metadata.
dhbk_hb_model cnn gei 000 v24.4 is a pre-trained computer vision model published on Kaggle. The dataset likely contains model weights and architecture files for a convolutional neural network. Its specific application, training data, and performance metrics are not detailed in the available metadata.
Image embeddings likely generated using a Convolutional Neural Network (CNN). The dataset's title and platform tags suggest it contains processed image features for machine learning tasks. It is published on Kaggle, but the original author, creation date, and data scale are unknown.
yolo11s-v2-pcb is a dataset hosted on Kaggle. The title and platform tags suggest it contains images of printed circuit boards (PCBs) with annotations for object detection, likely intended for use with the YOLO (You Only Look Once) model family. The dataset's specific size, creation date, and authorship are not provided in the available metadata.
A dataset published on Kaggle, likely containing images of printed circuit boards (PCBs) for computer vision tasks. The dataset name suggests it is intended for object detection, potentially using the YOLO (You Only Look Once) model architecture with CBAM (Convolutional Block Attention Module) enhancements. The author, organization, and specific scale of the data are unknown.
A Kaggle dataset likely containing tabular data for predicting material properties, specifically elastic constants. The dataset is associated with the Crystal Graph Convolutional Neural Network (CGCNN) framework, suggesting a focus on materials science and machine learning. Its specific size, origin, and temporal details are not provided in the available metadata.
Korean_OCR_dataset is a dataset hosted on Kaggle. The title and platform tags suggest it contains images with Korean text for optical character recognition tasks. The dataset's specific size, origin, and update history are not provided in the available metadata.
A dataset titled 'qcnn-2k-lan2-5' published on Kaggle. The platform tags suggest it relates to quantum computing and neural networks. The specific content, size, and origin are unknown from the provided metadata.
A Kaggle dataset containing training logs for a YOLOv8 model variant. The dataset likely contains metrics and parameters from multiple training runs for an object detection model. Its specific content, such as the number of runs or recorded metrics, requires verification after download.
A pre-trained ResNet model, likely for computer vision tasks, hosted on Kaggle. The dataset's specific architecture, training data, and performance metrics are not detailed in the available metadata. Its content and intended application must be verified after download.
A pre-trained ResNet model for transfer learning, published on Kaggle. The specific architecture variant, training data, and performance metrics are not detailed in the available metadata. The dataset's content and structure require verification after download.
A collection of images likely containing Algerian license plates for optical character recognition (OCR) tasks. The dataset is hosted on Kaggle, but its size, creation date, and author are unknown. Columns and specific content details require verification after download.
An image dataset likely containing annotated pictures of waste items for object detection tasks. The dataset is hosted on Kaggle and uses the YOLO v4 framework, suggesting it is intended for training computer vision models. Specific details on the number of images, collection source, and creation date are not provided in the available metadata.
A dataset of images depicting hand gestures for the game Rock Paper Scissors, likely intended for training and evaluating a ResNet18 convolutional neural network implemented in PyTorch. The dataset is hosted on Kaggle and is associated with a pre-trained model. Specific details on the number of images, collection method, and licensing are not provided in the available metadata.
Kaggle hosts a pre-trained Convolutional Neural Network model identified as 'dhbk_hb_model cnn gei 015 v24.6'. The model's specific architecture, training data, and performance metrics are not detailed in the available metadata. Its author, organization, and last update date are currently unknown.
Image embeddings likely generated by a CNN model, as indicated by the title and platform tags. The dataset is hosted on Kaggle, a platform for data science and machine learning projects. Specific details on the number of images, source, and creation date are not provided in the available metadata.
A dataset likely containing images and annotations for training an object detection model, specifically for printed circuit boards (PCB). The title suggests the model architecture involves YOLOv11 with enhancements like ECA attention, SIoU loss, and Focal loss. Published on Kaggle, it is intended for computer vision practitioners.
Yolo11s-CBAM-SIoU-Focal-pcb is a dataset hosted on Kaggle, likely for training object detection models. The title suggests it contains images of printed circuit boards (PCB) and is configured for a YOLOv11 model with specific attention and loss modules. No details on sample count, annotation type, or creation date are provided in the available metadata.
A dataset hosted on Kaggle, likely containing images for object detection tasks. The dataset's title and platform tags suggest it is intended for use with the YOLO (You Only Look Once) model family, version 11. Specific details regarding the number of images, annotations, source, and creation date are not provided in the available metadata.
Kaggle hosts the Samresnet34-VIP dataset, which appears to be a computer vision model. The dataset likely contains pre-trained weights for a neural network architecture named 'Samresnet34'. Details on the author, organization, and last update date are unknown.