Image retrieval and recommendation based on image caption datasets (PREFERABLY USING NOVEL SIMILARITY METRIC)

We need to work in python notebooks (google colab). We take three public benchmark datasets which include images and the associated text from social media (like MVSA dataset). The image and textual data are preprocessed separately. Then the features are extracted and a model based on a NOVEL SIMILARITY METRIC is created. Then we would need to move to the retrieval and recommendation part.

PS: Novelty of the above is critical.

Навыки: Python, Machine Learning (ML), Архитектура ПО, Статистика, Java

О клиенте:
( 0 отзыв(-а, -ов) ) Milan, Italy

ID проекта: #34370581

20 фрилансеров(-а) готовы выполнить эту работу в среднем за €564

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Hi, there. We can do benchmark these dataset with 3 OCR tools - PaddleOCR and EasyOCR, MMOCR. In this part, OpenCV can be used with text caption positions of images. Also, based on benchmark result, we can make trainin Больше

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I think this can be easily done using combination of two models for example let's say we can create on CNN like model for image and one LSTM kind of model for text data then we can combine these two models in bottom la Больше

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Hello there I have read project title which sate that:Image retrieval and recommendation based on image caption datasets (PREFERABLY USING NOVEL SIMILARITY METRIC) I have understood the description that about,We need Больше

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