Looking for Pre-Trained ML/AI Model for Automatic Hotspot Placement in 360-Degree House Images

TensorFlow
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1

Hi Everyone,

I’m working on creating virtual tours from 360-degree house images and need a pre-trained machine learning or AI model that can automatically detect and place navigation hotspots.

If anyone knows of any pre-trained models that can perform this task, please let me know.

Thanks

3

  • You could use a pre-trained object detection model like COCO , Faster R-CNN, or SSD to identify key objects or areas in the 360-degree images that would make good navigation points. These models can be fine-tuned on a dataset of house interior

  • Models like DeepLab or Mask R-CNN could segment different areas of the room (e.g. doors, windows, furniture), which could be used to place hotspots.

  • You Can Refer these Model garden Pre trained Model Documentation.

  • DeepLab Documentation.

Hope this helps ,

Thank You !