Loading...
Loading...
Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
16,421 datasets
Kaggle hosts a dataset titled 'yolo38', likely related to the YOLO (You Only Look Once) family of real-time object detection models. The dataset's specific content, size, and origin are not detailed in the provided metadata. Its publication on Kaggle suggests it is intended for machine learning practitioners working in computer vision.
Replication Data for 'Mutual Restraint in Nondemocratic Legislatures' provides data on deputy voting behavior and legislative success in the Kyrgyz Jogorku Kenesh. Authored by Sarah Hummel, the dataset supports analysis of regime-deputy dynamics in a nondemocratic legislature from 2016 to 2020.
630 images of plants across three distinct classes, intended for deep learning applications. The dataset is hosted on Kaggle and focuses on medicinal and crop species. Its specific source, collection method, and temporal details are not provided in the available metadata.
A dataset titled 'qcnn-500-seed2024-2reps' published on Kaggle. The name suggests it contains results from 500 simulations of a Quantum Convolutional Neural Network (QCNN) with a fixed random seed and two repetitions. The author, organization, and specific contents are unknown and require verification.
A dataset titled 'qcnn-500-seed2024-2reps' published on Kaggle. The name suggests it contains results from simulations of a Quantum Convolutional Neural Network (QCNN) with 500 data points, a fixed random seed from 2024, and two repetitions. The author, organization, and specific temporal coverage are unknown.
A dataset named 'qcnn-1k-seed0-2reps' published on Kaggle. The title suggests it relates to Quantum Convolutional Neural Networks (QCNNs), likely containing parameters, results, or training data from 1,000 instances or runs. The author, organization, and specific content details are unknown.
qcnn-2k-seed999-2reps is a dataset published on Kaggle. The title suggests it contains data related to a quantized convolutional neural network, likely including model weights or parameters. Specific details on size, columns, and creation are unavailable from the provided metadata.
qcnn-2k-seed999-2reps is a dataset published on Kaggle. The title suggests it contains 2,000 samples generated with a specific random seed (999) and two repetitions, likely for computer vision tasks. Its specific content, source, and creation date are not detailed in the provided metadata.
EfficientNet weights likely trained for the BirdCLEF 2026 competition on Kaggle. The dataset title suggests it contains model parameters for classifying bird species from audio data, though the specific architecture and training details are not provided. Published on Kaggle, its intended use is for participants in the related audio classification challenge.
Kaggle hosts a set of EfficientNet model weights derived from the BirdCLEF 2026 competition. The dataset likely contains pre-trained neural network parameters for identifying bird species from audio spectrograms. Its exact size, author, and creation details are unspecified in the provided metadata.
QCNN-500-Seed42-2Reps is a dataset published on Kaggle. The title suggests it contains results from simulations of a Quantum Convolutional Neural Network, likely with 500 data points or runs, using a fixed random seed of 42 and 2 repetitions. Metadata is minimal; actual content requires verification after download.
qcnn-500-seed42-2reps is a dataset published on Kaggle. The title suggests it contains results from simulations of a Quantum Convolutional Neural Network (QCNN), likely with 500 samples or iterations, using a fixed random seed (42) and two repetitions. The specific content, columns, and origin are not detailed in the provided metadata.
A dataset titled 'qcnn-500-seed888-2reps' published on Kaggle. The name suggests it contains results from simulations of a Quantum Convolutional Neural Network (QCNN), likely with 500 data points or iterations, a fixed random seed of 888, and two repetitions. The author, organization, and specific temporal coverage are unknown.
Kaggle hosts this dataset titled 'qcnn-500-seed888-2reps'. The dataset's title suggests it contains results from simulations of a Quantum Convolutional Neural Network (QCNN). Specific details on the creator, data volume, and creation date are not provided in the available metadata.
A dataset published on Kaggle, likely containing image data for computer vision tasks. The title suggests it may be related to a CNN (Convolutional Neural Network) model, possibly named 'dhbk_hb_model'. The specific content, scale, and origin require verification after download.
A set of Convolutional Neural Network (CNN) model weights, likely for image classification or recognition tasks. The dataset is hosted on Kaggle and is tagged within the Computer Vision domain. The specific architecture, training data, and performance metrics are not detailed in the provided metadata.
An image dataset for classifying Indian bay leaves, likely formatted for object detection tasks. The dataset version and model name suggest it is prepared for training a YOLOv8 computer vision model. It is published on the Kaggle platform.
Indian bay leaf classification v2-3.0.yolov8-1 suggests a dataset of images for training object detection models. The title indicates it is formatted for use with the YOLOv8 framework, version 3.0. It was published on Kaggle, but details on the collection method, creator, and update date are not provided.
A dataset for training and evaluating object detection models, specifically for the task of helmet detection. The dataset is hosted on Kaggle and is associated with the computer vision domain. The specific contents, scale, and origin details are not provided in the available metadata.
Kaggle hosts a dataset titled 'helmet-detection-yolo' intended for computer vision tasks. The dataset likely contains images annotated for object detection using the YOLO framework, focusing on helmet identification. Its specific size, source, and update history are not provided in the available metadata.