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Audio Assistant Based Image Captioning System Using RLSTM and CNN
2022
International Journal for Research in Applied Science and Engineering Technology
Abstract-- As we know, visually impaired or partially sighted people face a lot of problems reading or identifying any local scenarios. To vanquish this situation, we developed an audio-based image captioner that will identify the objects in an image and form a meaningful sentence that gives the output in the aural form. Image processing is a widely used method for developing many new applications. It isalso open source, so developers can use it easily. We used NLP (Natural Language Processing)
doi:10.22214/ijraset.2022.44289
fatcat:xg6oqawmezfe3aikws5iknt3lu