GAN-2024-Assignment
Introduction
This in-class competition is to classify the remotely sensed images using deep learning architectures.
Problem Statement
The  assignment is to test your designed neural network models for image classification problems. There are 10 classes: Basketball court, Bridge, Crosswalk, Golf, Oilwell, Overpass, Railway, Runway, Swimming pool, Tennis court.
Submissions
For the given test samples, you need to submit a .csv file (with your roll number as the initials for eg. 0123456789.csv) that will contain your model's predictions.
The submitted file should contain the following:
ImageID, Label
For eg.
101,2
102,5
103,1
104,0
105,3
and so on.
Framework, language and libraries
You are allowed to use any of these frameworks: Keras, Pytorch, and Tensorflow. Python as the programming language. You can use suitable libraries (Python related) for this assignment.
Points to remember
First of all you need to adhere with the rules.
The training and testing should be done on the data provided by us. Otherwise, you will be awarded as zero mark for the whole assignment.
For copied assignment, you will get zero.
Multiple users for the single student will be penalized (Submission from IITB account is allowed).
For queries you can reach out to us or you can post it on the discussion forum tab.
This assignment will help you in understanding the working principle of the frameworks, language, and libraries.
The marking will be entirely based on performance and number of submissions.
Timeline
Starts: 13 September, 2024
Ends: 20 September, 2024
Code submission: 20 September, 2024