the         facebook/detr-resnet-101 model for object detection. It is a DETR (End-to-End Object Detection) model with ResNet-101 backbone, which is known for its high accuracy in object detection tasks. I generated an image with predicted boxes and labels for each object. The complete path of the generated image is examples/d7da.jpg. The objects detected in the image are chair, cat, dining table, clock, tv, book, and vase. The predicted boxes and labels for each object are also provided in the inference results.Response: Sure, the red topping on the pizza in the image is tomato.  I used a visual question answering model       dandelin/vilt-b32-finetuned-vqa to answer the question "What is the red topping?" based on the image. The answer with the highest score is "tomato" with a score of 0.9698325395584106.CV > Visual Question AnsweringQuery: Look at js4f.jpg, what is the red topping?Response: I have estimated the depth of the image located at examples/ks4j.jpg using the
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