Vehicle images dataset for make and model recognition
Description
The dataset consists of 3847 images of different vehicles having different makes and model. The dataset has 48 different classes of vehicle models which are annotated in 48 different folders, each folder is named with its respective vehicle make and model name.
Files
Steps to reproduce
The video was recorded with a high frame rate camera with 8mm autofocus and F2.0 aperture. The camera was mounted at the back of the vehicle using a mounting stand. After the collection of videos in high resolution in an uncontrolled environment, frames were extracted from videos that contain vehicles. Later appropriate vehicles were cropped out of the frames and manually labeled according to vehicle make and model. Keeping individual privacy in mind faces and vehicle number plates were manually hidden from the images.