Product Browse Node Classification
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Updated
Aug 2, 2021 - Jupyter Notebook
Product Browse Node Classification
A machine learning solution for extracting key entity values (weight, volume, dimensions) from product images.
This repo contains the winning code for Amazon ML Challenge 2024. The challenge was to develop a Machine Learning model to extract product entity details directly from the product images.
The repo consists of Amazon ML challenge 2024, It is about detecting specific text (specific features) from image based dataset. It is a combination of OCR+NLP, then Naive Bayes classification is done.
submission for Amazon ML challenge'23
Image-entity-extractor is an OCR based model for extraction of information given entity type from product images
Utilizes PaddleOCR and advanced image pre-processing techniques to extract product attributes from images.
Utilizes PaddleOCR and advanced image pre-processing techniques to extract product attributes from images.
Utilizes PaddleOCR and advanced image pre-processing techniques to extract product attributes from images.
This is our submission to the amazon ML challange to the final round
Final Submission of Team DBkaScam for Amazon ML Challenge 2024 (Rank 6)
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