The dataset is publicly available and can be accessed through specified directories, with proper attribution appreciated when used for research or application development.

The data in the Vietnam Road Signs Dataset is licensed under Creative Commons (CC0), allowing users the freedom to use, copy, modify, and distribute the data without needing individual permissions.

PROSTATE MRI AND ULTRASOUND PROSTATE MRI AND ULTRASOUND Datasets PROSTATE MRI AND ULTRASOUND File PROSTATE MRI AND ULTRASOUND Use Case […]

Thermal Image Dataset Thermal Image Dataset Datasets Thermal Image Dataset File Thermal Image Dataset Use Case Computer Vision Description The […]

PandaSet Dataset PandaSet Dataset Datasets PandaSet Dataset File PandaSet Dataset Use Case Computer Vision Description PandaSet serves as a pivotal […]

The Structural Defects Network (SDNET) is a dataset specifically designed for research in the field of computer vision and machine learning, particularly for tasks related to the detection and classification of structural defects in materials, such as concrete. The SDNET 2018 dataset, as the name suggests, was released in 2018 and has been widely used in academic and industrial research for the development and evaluation of algorithms and models for defect detection and analysis.

We invite the Kaggle community to engage with this dataset, utilize it in developing innovative solutions, and contribute to the enhancement of license plate detection technology.

MNIST-100 MNIST-100 Datasets MNIST-100 File MNIST-100 Use Case Computer Vision Description The MNIST-100 dataset is a specialized subset of the […]

A “roads segmentation dataset” typically consists of images or aerial photographs that have been annotated to highlight and classify road areas within the images. This dataset is commonly used in computer vision and machine learning tasks, particularly for training and evaluating algorithms related to road detection and segmentation. The annotations in such a dataset provide pixel-level or object-level labels to distinguish road areas from other elements in the images, making it valuable for applications like autonomous driving, urban planning, and map generation. Researchers and developers use roads segmentation datasets to train models to identify and segment roads accurately from various types of imagery.

CASIA Iris Syn CASIA Iris Syn Datasets CASIA Iris Syn File CASIA Iris Syn Use Case Computer Vision Description This […]