the predicted box. The generated image with predicted box is at:        /images/sd48.jpgRegarding your request for image segmentation, I have completed the task using a pre-trained model called        facebook/detr-resnet-50-panoptic. The segmentation mask shows the different regions of the image that belong to different classes. In this case, the model has identified two main classes in the image, which are "dog", "grass" and "tree". The generated image with the segmentation mask can be found at    a    /images/t4s1.jpgFor visual question answering, I used        dandelin/vilt-b32-finetuned-vqa model. This model is a Vision-and-Language Transformer (ViLT) model, which is fine-tuned on VQAv2. It is suitable for visual-question-answering tasks, and is likely to provide accurate results for the given image. For the question  "what are in the image?" It reply with a prediction "dogs" and the confidence is 84.9%.Execution Results:1.  {"generated_text": "a family of four dogs are playing in
HuggingGPT- Solving AI Tasks with ChatGPT and its Friends in Hugging Face