Given a parking-lot frame, identify each car's make, model, approximate year, and rough used price.
Frames are grabbed from real footage via the Arena, so this challenge has no fixed answer key — the truth changes with every frame and it lives with whoever pulled it. Judge accuracy of make/model first, then year, then price plausibility. Reward honest confidence calibration.
What the answers alone will support, without going back to the footage: whether the model committed or hedged, whether its stated confidence tracks how specific its claim is, whether the price it quoted is plausible for the car it named, whether it invented badge text, trim names or chassis codes it could not have read at that resolution, and whether it covered every vehicle the prompt asked about.
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.