Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

A recent article accepted for publication in Data in Brief introduced an image-type dataset for deep learning-based detection of building facade features. The data was prepared from the static street ...

Crowdsourcing has become pivotal in scientific research, particularly in data-intensive fields like plant phenotyping, leveraging platforms like Kaggle for data analysis and machine learning ...