Image Annotation

Image annotation, the process of labeling images with information like object boundaries, classes, or attributes, is crucial for training computer vision models. Current research emphasizes improving annotation efficiency and accuracy through active learning techniques, deep learning architectures (especially convolutional neural networks), and the integration of foundation models for automated labeling. This work is significant because efficient and accurate annotation is essential for advancing various applications, including medical image analysis, remote sensing, and autonomous navigation, where large, high-quality datasets are needed to train robust and reliable models.