Abstract: Modern affective computing systems rely heavily on datasets with human-annotated emotion labels for both training and evaluation. However, human annotations are expensive to obtain, ...

Data is the backbone of every successful computer vision project. But raw data alone won’t build a smart model. It needs to be annotated, i.e., carefully labeled so that machines can learn to “see” ...

Abstract: In recent years, computer vision has transformed fields such as medical imaging, object recognition, and geospatial analytics. One of the fundamental tasks in computer vision is semantic ...

There is a problem with the automatic saving of this software, which results in that occasionally a label does not save the label name after marking the label, but only saves the label coordinates.

Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...

Label-Images-Tool is a graphical image annotation tool and label object bounding boxes in images. It is written in Python and uses Qt for its graphical interface. sudo apt-get install pyqt4-dev-tools ...