Abstract: Techniques guiding users in capturing vehicle images and video are provided. Some techniques involve: obtaining a three-dimensional model of a vehicle; generating a part-annotated 3D model of the vehicle; obtaining portions of the vehicle to be imaged by the user; generating overlays corresponding to the portions of the vehicle to be imaged by the user; and outputting the overlays for use in guiding the capturing images of the vehicle. Some techniques involve: obtaining a video of a vehicle; obtaining frames from the video; analyzing the frames to identify portions of the vehicle the user is to video, the analyzing comprising for each particular frame: determining whether the particular frame complies with one or more image quality criteria; and identifying at least one portion of the vehicle captured in the particular frame; and generating instructions for guiding the user to video the identified portions of the vehicle.

Abstract: The techniques described herein relate to generating vehicle condition reports at least in part using trained large language models (LLMs). An example method includes, using at least one computer processor, to perform: obtaining natural language text transcribed from an audio recording of a user speaking about a vehicle and its condition, identifying a first portion of the natural language text containing information about a condition of a part of the vehicle using a vehicle part condition dictionary, generating, using the first portion and portions of the natural language text that provide semantic context to the first portion, a prompt for prompting the trained LLM to generate output text identifying the part and describing its condition, providing the prompt as input to the trained LLM, receiving the output text from the trained LLM, and generating the vehicle condition report using the output text.

Abstract: Techniques guiding users in capturing vehicle images and video are provided. Some techniques involve: obtaining a three-dimensional model of a vehicle; generating a part-annotated 3D model of the vehicle; obtaining portions of the vehicle to be imaged by the user; generating overlays corresponding to the portions of the vehicle to be imaged by the user; and outputting the overlays for use in guiding the capturing images of the vehicle. Some techniques involve: obtaining a video of a vehicle; obtaining frames from the video; analyzing the frames to identify portions of the vehicle the user is to video, the analyzing comprising for each particular frame: determining whether the particular frame complies with one or more image quality criteria; and identifying at least one portion of the vehicle captured in the particular frame; and generating instructions for guiding the user to video the identified portions of the vehicle.