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adithya-s-k / World-of-AI

WORLD OF AI : An open-source repository for AI-based projects 🚀, from beginner to expert level, helping contributors start their journey in Artificial Intelligence and Deep Learning. Our projects provide hands-on experience to real-world problems👨‍💻. Join our community and contribute to the development of AI-based solutions 👥.
https://www.cognitivelab.tech/
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[PROJECT PROPOSAL] Data Augmentation for Image Classification #119

Open Anantashayana opened 1 year ago

Anantashayana commented 1 year ago

Project Request

Field Description
About generate augmented images to increase the size of the training dataset for image classification tasks. This can involve applying various transformations like rotation, translation, scaling, or adding noise to existing images.
Github @Anantashayana
Email anantashayana.hegde@gmail.com
Label Project Request

Anantashayana

Define You

Project Name

Data Augmentation for Image Classification

Description

augment an existing dataset for image classification tasks. Increasing the dataset size will help in projects where the size of the dataset is very less. Also it can help in reducing bias and variance.

Scope

This project is helpful in enhancing the performance and generalization of image classification models by increasing the size and diversity of the training dataset through data augmentation. It allows the model to learn to be more robust and invariant to real-world variations and transformations, ultimately improving its accuracy and reliability in practical applications.

Timeline

I may take 1 Week for completing this project as my Sem End exams are coming up. Hope I will learn a lot from doing this. Here is a rough timeline of the project. Day 1: Dataset preparation. Day 2: Model selection and training. Day 3: Augmentation generation. Day 4: Dataset augmentation. Day 5: Training and evaluation. Day 6: Fine-tuning and iteration. Day 7: Documentation and reporting

sijalalyy commented 1 year ago

can you plis assign this issue to me? i have experience in building classification models.