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Related Questions
- What are the key differences in architecture between large language models and object detection models?
- How do large language models handle visual data versus text data in object detection tasks?
- What are some common evaluation metrics used to assess the performance of large language models in object detection?
- Can large language models be fine-tuned for object detection tasks, and if so, what are the benefits and challenges?
- How does the performance of large language models compare to traditional computer vision models in object detection tasks?
- What are some potential applications of large language models in object detection, such as real-time surveillance or autonomous vehicles?
- What are some limitations of large language models in object detection tasks, such as handling occlusions or varying lighting conditions?
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