In this scenario, analyzing vehicle images and measuring the distance between them requires first detecting each vehicle's position in the image. Object detection models can locate and identify multiple objects (such as cars, trucks, or motorcycles) by assigning bounding boxes. Once detected, their coordinates can be used to calculate distances or spacing.
Image classification only assigns a single label per image, not per object. Facial recognition is human- focused, and OCR deals with text extraction. Thus, object detection is the correct model type for this task.