This repository implements text detection in images using CRAFT deep learning model with VGG-16 as backbone. The network is trained on various scene text detection datasets with text in English, ...

After train_and_test.py is finished, the model will be saved inside /model/ and can be accessed from there. exp_replace.py is used by create_feature_sets.py to preprocess the data. Use_NN.py can be ...

The exigent demands of text detection have led to the development of numerous deep learning models. Scene text is the text that is incorporated into natural scenes. The precise and explicit spotting ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Bose, Priyom. (2024, January 24). Deep learning model COMPOSER enhances early sepsis detection and ...

Smart factory systems have been introduced to prevent the decline in overall equipment effectiveness caused by the presence of defects within factory manufacturing equipment. In this context, it is ...

Background Deep learning (DL) is promising to detect glaucoma. However, patients’ privacy and data security are major concerns when pooling all data for model development. We developed a ...

Any object detection model is basically composed of classification and localization. For the classification process, both TD-CNN and Faster R-CNN models used transfer learning. Transfer learning is a ...

Purpose To develop and validate a deep learning model for the segmentation of five retinal biomarkers associated with neovascular age-related macular degeneration (nAMD). Methods 300 optical coherence ...