Production Detection from logos

Ref from post, post1

• Detecting all the possible image regions that might contain a logo
• Matching the detected regions against an ever-evolving set of logo prototypes
• Representation of an image with its text description
• Zero-shot logo recognition relies heavily on an embedding model for matching query regions against a constantly evolving set of cropped logo images
• Text pipeline to extract the text in the image via optical character recognition (OCR)
• We explicitly pair positive examples with their hard negatives, to encourage the model to distinguish logos from similar texts
• Create embedding for similar products and assign appropriate weights

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