For a deep learning project, I trained a YOLO based model to detect objects on satellite images (from spacenet dataset; epsg:4326). However, as the Darknet only takes JPG/PNG images as input(to the best of my knowledge), I had to convert TIFF files to JPG first and also convert the bounding box labels to pixel coordinates. For creating bounding boxes, I used some examples from spacenet utilities and a bit of experimentation.
Now that I have the pixel prediction for objects from the YOLO model and I want to be able to map these pixel coordinates back to the longitude/latitude information (using the corresponding geomappings in TIFF file?) so I can put the results on an interactive map such as ArcGIS. How can I convert the pixel coordinates of the predicted bounding boxes, back to the real world longitude, latitude information.