iMat Product 2019


As online shopping and retail AI become ubiquitous in our daily life, it is imperative for computer vision systems to automatically and accurately recognize products based on images at the stock keeping unit (SKU) level. However, this still remains a challenging problem since there is a large number of SKU-level categories, many of which are fine-grained, with very subtle differences that cannot be easily distinguished. At the same time, images of the same product or SKU can often look different under different conditions (e.g., user generated content v.s. professional generated content).

By providing a large scale dataset and hosting a competition, Malong Technologies and FGVC workshop organizers encourage computer vision researchers to develop novel algorithms to tackle this interesting problem. Individuals/teams with top submissions may be invited to present their work at the FGVC6 workshop at CVPR 2019 and share a $3,000 cash prizes.

Competition Details

Checkout the iMat Product Competition Github repo for the specifics of the dataset and download links. The competition itself is being hosted on Kaggle.

Competition Begins 1 April 2019

Submission Deadline 26 May 2019


Malong Technologies is the sponsor of the prizes:

1st place: $ 1,500

2nd place: $ 1,000

3rd place: $ 500


Xintong Han, Malong Technologies

Sheng Guo, Malong Technologies

Lingshu Kong, Malong Technologies

Weilin Huang, Malong Technologies

Matt Scott, Malong Technologies