Gemini 2.5 Pro and Qwen 2.5 VL for Object Detection - Benchmarking LLMs for Vision Tasks with RF100-VL

Gemini 2.5 Pro and Qwen 2.5 VL for Object Detection - Benchmarking LLMs for Vision Tasks with RF100-VL

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00:00 Introduction: Do VLMs Struggle to Generalize on Object Detection Tasks?

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1 of 10

00:00 Introduction: Do VLMs Struggle to Generalize on Object Detection Tasks?

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Gemini 2.5 Pro and Qwen 2.5 VL for Object Detection - Benchmarking LLMs for Vision Tasks with RF100-VL

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  1. 1 00:00 Introduction: Do VLMs Struggle to Generalize on Object Detection Tasks?
  2. 2 03:28 Understanding Pre-Trained VLMs vs. Task-Specific Vision Models
  3. 3 04:54 Why Even Use VLMs for Object Detection?
  4. 4 09:48 Can We Leverage VLMs Pre-Training Data for Zero-Shot Detections?
  5. 5 12:18 Introducing RF100-VL: Object Detection Benchmark for VLMs
  6. 6 17:52 How to Evaluate Object Detection Capabilities in VLMs
  7. 7 21:46 Example: Comparing Evaluation Performance
  8. 8 25:34 Prompting Strategies for Object Detection Tests
  9. 9 30:10 Results! Comparing VLMs Object Detection Scores
  10. 10 37:43 Conclusion, Takeaways, and Looking Forward

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