Carvana Image Masking Challenge

Broad domain – Image Processing
Focused domain – Image Segmentation

Carvana, a successful online used car startup, has seen an opportunity to build long term trust with consumers and streamline the online buying process.An interesting part of their innovation is a custom rotating photo studio that automatically captures and processes 16 standard images of each vehicle in their inventory. While Carvana takes
high-quality photos, bright reflections and cars with similar colours as the background cause automation errors, which requires a skilled photo editor to change.

In this competition, you’re challenged to develop an algorithm that automatically removes the photo studio background. This will allow Carvana to superimpose cars on a variety of backgrounds. You’ll be analysing a dataset of photos, covering different vehicles with a wide variety of year, make, and model combinations.

Prize Money

1st place – $12,000
2nd place – $8,000
3rd place – $5,000


The enrollment of the students can be considered for the various roles with different responsibilities during the development of the model. The students must have following pre-requisites for the enrollment
 Programming Skills
 Working Knowledge in Python
 MATLAB Basics

Number of Positions: 02

Principal Investigator:

Dr Sheifali Gupta

Funding- External        Project Start Date - 01/11/2017