Fine-tuning open vision-language models on 240K synthetic question-answer pairs with exact camera-object labels improves camera-object recognition by 33.4% on average over GPT-4o and Claude-3-Sonnet on the paper's benchmark.
Claude v3.0, 2024
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Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation
Fine-tuning open vision-language models on 240K synthetic question-answer pairs with exact camera-object labels improves camera-object recognition by 33.4% on average over GPT-4o and Claude-3-Sonnet on the paper's benchmark.