A New AI Research Introduces Recognize Anything Model (RAM): A Robust Base Model For Image Tagging

When it comes to natural language processing (NLP) tasks, large language models (LLM) trained on massive online datasets perform exceptionally well. Segment Anything Model (SAM) has shown outstanding zero-shot localization abilities in computer vision (CV) by scaling up data.  Unfortunately, SAM cannot produce semantic labels, a fundamental task on par with localization. Recognizing many labels […]

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