Inputs and files attached to the run itself. Model output is shown with its turn.
You are an expert automotive appraiser. Identify as many cars as possible in this image. Number each car and, for each, give: make, model, approximate year (a range is fine), and approximate average used price for that type of vehicle. Give a confidence level (high / medium / low) per car and say clearly when you are guessing. Work from the most clearly visible vehicles to the least.
Working from the clearest to the most obscured. I am identifying vehicles in the main row plus a couple of background/partial ones. When I say “guessing,” I mean the make/model is inferred from partial shape/lighting rather than clearly readable badges or full profiles.
1. White Honda Civic Hatchback — 11th generation (2022–2025)
2. White Honda Civic Sedan — 11th generation (2022–2025)
3. White Toyota Prius — XW50 / XW60 generation (2020–2023)
4. White Honda Civic Hatchback — 10th generation (2016–2021)
5. Dark Blue / Black Subcompact Hatchback — likely Honda Fit (2015–2020)
6. White Pickup Truck — likely Ford F-150 / similar full-size (2015–2020)
7. Partial White Vehicle — bottom-right corner (likely Honda Civic / Accord, 2020+)
8. Red / Dark SUV or Truck — far left background
Summary of what I can confirm vs. guess:
If you need appraisal values for a specific one (e.g., the closest Civic hatchback), tell me the trim level (LX, Sport, EX-L, etc.) and mileage and I can narrow the price.