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

ENROLLMENT OF STUDENTS

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