Great write-up! There are so many directions you can take it to:
* By training on user data, you can source specific model data images, and then train & classify the airplane model. It might require another model, where only the bbox will be the input, together with distance/calculated measurements of the object ("pixel size"), and the orientation of the plane (side? front? belly?).
* Provide alerts/notification of special aircrafts like helicopters, military, airforce-1, etc'
* When bbox is detected, you can run super-resolution upscaling on the photo/stream of images
Great write-up! There are so many directions you can take it to:
* By training on user data, you can source specific model data images, and then train & classify the airplane model. It might require another model, where only the bbox will be the input, together with distance/calculated measurements of the object ("pixel size"), and the orientation of the plane (side? front? belly?).
* Provide alerts/notification of special aircrafts like helicopters, military, airforce-1, etc'
* When bbox is detected, you can run super-resolution upscaling on the photo/stream of images