Thank you so much for your feedback.

Indoors: expect more Medium/Low outputs in terms of confidence level So, yes, it is less useful for indoors images. With outdoor photos is where it shines.

Adversarial sets: i have performed and adjusted the application over time to deal with this. For example, I tested several times with a photo of a beach in Portugal where there was a brazilian flag. The current weighting scheme protects against a single misleading prop, but a carefully curated room that hides infrastructure can still nudge the model off course, though usually at lower confidence.

Thats an excellent question. I would say that the best way to defend yourself is to avoid sharing online images with the following:

• Recognisable landmarks or skylines
• Distinctive soil, rock, or vegetation patterns
• Street names, shop signs, URLs, phone numbers, or domain endings
• Vehicle licence-plate numbers, colours, or regional prefixes
• National or local traffic signs, road-marking styles, and curb paint
• Public-service objects such as mailboxes, police-car liveries, and transit stop poles
• Flags, team logos, school crests, tourist merchandise, or event banners
• Architectural styles unique to a small region