This is an Emoji and Text Recognizer made for MOSAIC, Udyam'22, organized by IIT(BHU).
Team Name: MoCa
Team members:
Debasish Chakraborty
Vedant Gupta
Nachiketa
Problem Statement:
The task is to automatically detect what is written in the
Captcha given to you. Generally simple captchas
consist of numbers and letters in a distorted format,
but there is a twist to the PS. Instead of numbers, the
captcha will consist of letters and emojis!
You have to map the emojis in the captcha to numbers,
i.e. when you print the output, you need to print the
number corresponding to the emoji detected in the
captcha,
The mapping will be as follows:
Checkmark : 1
Cloud: 2
Croissant: 3
Heart: 4
Laugh: 5
Smile: 6
Sun: 7
Dataset Used:
For Letters: https://www.kaggle.com/datasets/crawford/emnist
For Emojis: https://drive.google.com/drive/folders/1sw0XVroXFh
We tested our model on various sample images and here are the results
Note :- All the images are drawn on Microsoft Whiteboard
