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At its core, V2L is the ability of an AI model to "look at" an image or a video and generate a natural language description of what it sees. This requires the AI to understand complex visual details and translate them into words. The most well-known V2L applications are automatic image captioning and visual question answering (e.g., showing an AI a picture and asking "What color is the car?").