Issue: Understand the dataset

[kyanmahajan]

Issue: Understand the Dataset & Perform Initial Exploration

Objective

Before building any model, it is crucial to understand the dataset thoroughly.
This issue focuses on exploring the dataset structure, classes, distributions, and visual patterns in the images.

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Dataset

• Name: SpaceNet – Astronomy Image Dataset
• Link: https://www.kaggle.com/datasets/razaimam45/spacenet-an-optimally-distributed-astronomy-data

Participants can download the dataset and work locally, or work on Kaggle (Recommended)/colab directly and upload the notebook.

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Tasks to Perform

You must include (but are not limited to) the following:

• Identify all classes and number of samples per class and Check class balance / imbalance [Plot the required plot]
• Visualize random samples from each class
• Analyze image resolutions, formats

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Submission Guidelines

1. Fork the repository
2. Create a folder inside participants/ named exactly as your enrollment number
3. Add your exploratory notebook(s) inside that folder
4. Commit and push your changes
5. Open a Pull Request referencing this issue
6. Follow the template as in previous issues [ Issue: #<issue_number> ]

participants/
└── <your_enrollment_number>/
    └── data_exploration.ipynb

[Ayaanshaikh12243]

I am interested

[kyanmahajan]

I am interested
It's open for all, you can do it