code: def ovd():
      sample_image_path = download(
          "https://live.staticflickr.com/65535/49004630088_d15a9be500_6k.jpg"
      )
  
      # Train
      predictor = MultiModalPredictor(
          problem_type="open_vocabulary_object_detection"
      )
  
      # Evaluation on test dataset
      test_result = predictor.predict(
          {
              "image": [sample_image_path],
              "prompt": [
                  "Pink notice. Green sign. One Way sign. People group. Tower crane in construction. Lamp post. Glass skyscraper."
              ],
          },
      )
      print(f"test_result:\n {test_result}")
  
label_desc: Use image node_id 1 for calling a global function with example usage: ovd() without return types