Datathon NSI Solution – Team Lemurs
The NSI case – Predicting Household Budgets by team Lemurs Team Tsvetan (cecopld) Radoslav (rdimitrov) (mr-reliable) (khadeer) Business Understanding The survey’s […]
Author: cecopld
Team Cherry. The Kaufland Case. Fast and Accurate Image Classification Architecture for Recognizing Produce in a Real-Life Groceries’ Setting
Our best model (derived from VGG) achieved 99.46% top3 accuracy (90.18% top1) with processing time during training of 0.006 s per image on a single GPU Titan X (200s / epoch with 37 000 images).
The teams vision is for the team members to see where they stand compared to others in terms of ideas and approaches to computer vision and to learn new ideas and approaches from the other team-mates and the mentors.
Therefore the team is pursuing a pure computer vision approach to solving the Kaufland and/or the ReceiptBank cases.