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Bill Classification in Tunisia Challenge

Domain:

socioeconomic

Record type:

dataset

Use computer vision to classify receipts in Tunisa
The data is composed of a set of receipt images that belong to 4 categories: restaurants, parking, fuel and transport.
Each category contains images of receipts in different languages (English, French, German, Italian and Spanish)
The objective of this challenge is to create a deep learning model to classify images of receipts by the category of the expense.
Train and Test images can be downloaded here:
storage.googleapis.com
How to use Colab on Zindi
How to mount a drive on Colab

Visit

zindi.africa

Tasks

computer visionimage classification

Tags

competitionzindiclassificationnlpfinancial services