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.
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Hello. I am a computer vision and machine learning expert. I hope to work with you. Please leave message for further discussion. Looking forward to hear your reply. Best regard! Binh
Hello, I'm very happy, I can develop a python script to obtain the images you need, applying a filter filter through a neural network to filter the similar ones
Hi , I have experiance in image and text hadlimg through deep learning i have understand your requirements i can do this , please ping me if you are interested . Thank you